Information classifying device, information classifying method, information classifying program, information classifying system
First Claim
1. An information classifying device, comprising:
- distance calculating means for calculating distance information between each of an arbitrary number of pieces of sample information and center of gravity of each of an arbitrary number of populations including said pieces of sample information, using a distance evaluation function;
statistical information calculating means for calculating statistical information using mean of sample distances and variance of sample distances with the mean of sample distances being the center, based on each group of distance information constituted by said distance information calculated by said distance calculating means, associated with each said sample information belonging to each said population;
degree of assignment relevancy evaluating means for evaluating degree of assignment relevancy, by calculating distance between the center of gravity of each said population and sample information as an object of classification using said distance calculating means, normalizing said distance using said statistical information calculated by said statistical information calculating means on said calculated distance and performing a statistical test;
assignment destination determining means for determining to which population said piece of information as the object of classification is to be assigned, according to the degree of assignment relevancy evaluated by said degree of assignment relevancy evaluating means; and
sample information classifying means for assigning and classifying said piece of sample information as the object of classification to the population determined by said assignment destination determining means.
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Accused Products
Abstract
An information classifying device calculates, for a plurality of populations containing pieces of sample information, evaluation distance between a center of gravity of the pieces of sample information belonging to each population and a piece of sample information as an object of classification (object sample), calculates statistical information such as mean, variance and standard deviation of the evaluation distance for each population, evaluates the evaluation distance of the sample information to the population based on the evaluation distance and the statistical information and evaluates degree of assignment relevancy of the object sample to the population, determines to which population the object sample is to be assigned in accordance with the degree of assignment relevancy, and assigns the object sample to the population. Evaluation distance between the center of gravity of each updated population and the object sample belonging to each population is calculated. If the degree of assignment relevancy to every population is out of a prescribed range, a new population is formed, and the object sample is assigned to the new population. Thus, autonomous and stable classification of object sample to a population becomes possible.
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Citations
28 Claims
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1. An information classifying device, comprising:
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distance calculating means for calculating distance information between each of an arbitrary number of pieces of sample information and center of gravity of each of an arbitrary number of populations including said pieces of sample information, using a distance evaluation function; statistical information calculating means for calculating statistical information using mean of sample distances and variance of sample distances with the mean of sample distances being the center, based on each group of distance information constituted by said distance information calculated by said distance calculating means, associated with each said sample information belonging to each said population; degree of assignment relevancy evaluating means for evaluating degree of assignment relevancy, by calculating distance between the center of gravity of each said population and sample information as an object of classification using said distance calculating means, normalizing said distance using said statistical information calculated by said statistical information calculating means on said calculated distance and performing a statistical test; assignment destination determining means for determining to which population said piece of information as the object of classification is to be assigned, according to the degree of assignment relevancy evaluated by said degree of assignment relevancy evaluating means; and sample information classifying means for assigning and classifying said piece of sample information as the object of classification to the population determined by said assignment destination determining means. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. An information classification method executed by a computer, comprising the steps of:
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calculating, by a distance information calculating device configured within the computer, distance information between each of an arbitrary number of pieces of sample information and center of gravity of each of an arbitrary number of populations including said pieces of sample information, using a distance evaluation function; calculating, by a statistical information calculating device configured within the computer, statistical information using mean of sample distances and variance of sample distances with the mean of sample distances being the center, based on each group of distance information constituted by said calculated distance information, associated with each said sample information belonging to each said population; evaluating, by a degree of assignment relevancy evaluating unit configured within the computer, degree of assignment relevancy by calculating distance between the center of gravity of each said population and sample information as an object of classification and normalizing said distance using said calculated statistical information on said calculated distance and performing a statistical test; determining, by an assignment destination determining unit configured within the computer, to which population said piece of information as the object of classification is to be assigned, in accordance with the evaluated degree of assignment relevancy; and assigning and classifying, by a sample information classifying unit configured within the computer, said piece of sample information as the object of classification to the determined population. - View Dependent Claims (17)
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18. A computer-readable medium, storing a set of instructions, executed by a processor, to perform an information classifying method, comprising:
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calculating distance information between each of an arbitrary number of pieces of sample information and center of gravity of each of an arbitrary number of populations including said pieces of sample information, using a distance evaluation function; calculating statistical information using mean of sample distances and variance of sample distances with the mean of sample distances being the center, based on each group of distance information constituted by said calculated distance information, associated with each said sample information belonging to each said population; evaluating degree of assignment relevancy by calculating distance between the center of gravity of each said population and sample information as an object of classification and normalizing said distance using said calculated statistical information on said calculated distance and performing a statistical test; determining to which population said piece of information as the object of classification is to be assigned, in accordance with the evaluated degree of assignment relevancy; and assigning and classifying said piece of sample information as the object of classification to the determined population. - View Dependent Claims (19)
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20. An information classifying system, comprising:
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an information classifying device, and an information terminal connected to said information classifying device through a communication line;
whereinsaid information classifying device includes population receiving means for receiving an arbitrary number of populations including pieces of sample information, from said information terminal, distance calculating means for calculating distance information between each of an arbitrary number of pieces of sample information included in said populations received by said population receiving means and center of gravity of each of the arbitrary number of populations, using a distance evaluation function, statistical information calculating means for calculating statistical information using mean of sample distances and variance of sample distances with the mean of sample distances being the center, based on each group of distance information constituted by said distance information calculated by said distance calculating means, associated with each said sample information belonging to each said population, degree of assignment relevancy evaluating means for evaluating degree of assignment relevancy, by calculating distance between the center of gravity of each said population and sample information as an object of classification using said distance calculating means, and normalizing said distance using said statistical information calculated by said statistical information calculating means on said calculated distance and performing a statistical test, assignment destination determining means for determining to which population said piece of information as the object of classification is to be assigned, according to the degree of assignment relevancy determined by said degree of assignment relevancy determining means, sample information classifying means for assigning and classifying said piece of sample information as the object of classification to the population determined by said assignment destination determining means, and classified population passing means for passing a classified population to which said piece of sample information as the object of classification has been assigned and classified by said sample information classifying means, to said information terminal; and said information terminal includes population passing means for passing said arbitrary number of populations to said information classifying device, and classified population receiving means for receiving said classified population from said information classifying device. - View Dependent Claims (22)
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21. An information classifying system, comprising:
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an information classifying device, and an information terminal connected to said information classifying device through a communication line;
whereinsaid information classifying device includes sample information receiving means for receiving a piece of sample information as an object of classification from said information terminal, distance calculating means for calculating distance information between each of an arbitrary number of pieces of sample information including sample information as an object of classification received by said sample information receiving means and center of gravity of each of the arbitrary number of populations including said sample information, using a distance evaluation function, statistical information calculating means for calculating statistical information using mean of sample distances and variance of sample distances with the mean of sample distances being the center, based on each group of distance information constituted by said distance information calculated by said distance calculating means, associated with each said sample information belonging to each said population, degree of assignment relevancy evaluating means for evaluating degree of assignment relevancy, by calculating distance between the center of gravity of each said population and sample information as an object of classification using said distance calculating means, and normalizing said distance using said statistical information calculated by said statistical information calculating means on said calculated distance and performing a statistical test, assignment destination determining means for determining to which population said piece of information as the object of classification is to be assigned, according to the degree of assignment relevancy determined by said degree of assignment relevancy determining means, and population identifying information passing means for passing population identifying information identifying the population determined by said assignment destination determining means to said information terminal; and said information terminal includes sample information passing means for passing said piece of sample information as the object of classification to said information classifying device, and population identifying information receiving means for receiving said population identifying information from said information classifying device.
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23. An information providing service, using an information classifying system including
an information classifying device, and an information terminal connected to said information classifying device through a communication line; - wherein
said information classifying device includes sample information receiving means for receiving a piece of sample information as an object of classification from said information terminal, distance calculating means for calculating distance information between each of an arbitrary number of pieces of sample information including sample information as an object of classification received by said sample information receiving means and center of gravity of each of the arbitrary number of populations including said sample information, using a distance evaluation function, statistical information calculating means for calculating statistical information, using mean of sample distances and variance of sample distances with the mean of sample distances being the center, based on each group of distance information constituted by said distance information calculated by said distance calculating means, associated with each said sample information belonging to each said population, degree of assignment relevancy evaluating means for evaluating degree of assignment relevancy, by calculating distance between the center of gravity of each said population and sample information as an object of classification using said distance calculating means, and normalizing said distance using said statistical information calculated by said statistical information calculating means on said calculated distance and performing a statistical test, assignment destination determining means for determining to which population said piece of information as the object of classification is to be assigned, according to the degree of assignment relevancy determined by said degree of assignment relevancy determining means, and population identifying information passing means for passing population identifying information identifying the population determined by said assignment destination determining means to said information terminal; and said information terminal includes sample information passing means for passing said piece of sample information as the object of classification to said information classifying device, and population identifying information receiving means for receiving said population identifying information from said information classifying device. - View Dependent Claims (24)
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25. An information classifying system, comprising:
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an information classifying device, and an information terminal connected to said information classifying device through a communication line;
whereinsaid information classifying device includes population receiving unit configured to receive an arbitrary number of populations including pieces of sample information, from said information terminal, distance calculating unit configured to calculate distance information between each of an arbitrary number of pieces of sample information included in said populations received by said population receiving unit and center of gravity of each of the arbitrary number of populations, using a distance evaluation function, statistical information calculating unit configured to calculate statistical information using mean of sample distances and variance of sample distances with the mean of sample distances being the center, based on each group of distance information constituted by said distance information calculated by said distance calculating unit, associated with each said sample information belonging to each said population, degree of assignment relevancy evaluating unit configured to evaluate degree of assignment relevancy, by calculating distance between the center of gravity of each said population and sample information as an object of classification using said distance calculating unit, and normalizing said distance using said statistical information calculated by said statistical information calculating unit on said calculated distance and performing a statistical test, assignment destination determining unit configured to determine to which population said piece of information as the object of classification is to be assigned, according to the degree of assignment relevancy determined by said degree of assignment relevancy determining unit, sample information classifying unit configured to assign and classify said piece of sample information as the object of classification to the population determined by said assignment destination determining unit, and classified population passing unit configured to pass a classified population to which said piece of sample information as the object of classification has been assigned and classified by said sample information classifying unit to said information terminal; and said information terminal includes population passing unit configured to pass said arbitrary number of populations to said information classifying device, and classified population receiving unit configured to receive said classified population from said information classifying device. - View Dependent Claims (26)
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27. An information classifying system comprising:
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an information classifying device, and an information terminal connected to said information classifying device through a communication line;
whereinsaid information classifying device includes sample information receiving unit for receiving a piece of sample information as an object of classification from said information terminal, distance calculating unit for calculating distance information between each of an arbitrary number of pieces of sample information including sample information as an object of classification received by said sample information receiving unit and center of gravity of each of the arbitrary number of populations including said sample information, using a distance evaluation function, statistical information calculating unit for calculating statistical information, using mean of sample distances and variance of sample distances with the mean of sample distances being the center, based on each group of distance information constituted by said distance information calculated by said distance calculating unit, associated with each said sample information belonging to each said population, degree of assignment relevancy evaluating unit for evaluating degree of assignment relevancy, by calculating distance between the center of gravity of each said population and sample information as an object of classification using said distance calculating unit, and normalizing said distance using said statistical information calculated by said statistical information calculating unit on said calculated distance and performing a statistical test, assignment destination determining unit for determining to which population said piece of information as the object of classification is to be assigned, according to the degree of assignment relevancy determined by said degree of assignment relevancy determining unit, and population identifying information passing unit for passing population identifying information identifying the population determined by said assignment destination determining unit to said information terminal; and said information terminal includes sample information passing unit for passing said piece of sample information as the object of classification to said information classifying device, and population identifying information receiving unit for receiving said population identifying information from said information classifying device. - View Dependent Claims (28)
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Specification