Information Classifying Device, Information Classifying Method, Information Classifying Program, Information Classifying System
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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
54 Claims
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1-26. -26. (canceled)
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27. 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 distance 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 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 (28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 48)
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41. An information classification method executed by a computer, comprising the steps of:
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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 (49)
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42. An information classifying program executed by a computer, causing the computer to execute the steps of:
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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 (50)
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43. 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 (51)
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44. 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;
wherein said information classifying device includessample 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 for each said population, 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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45. An information providing service, using an information 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 (52)
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46. A computer readable recording medium recording a classified population classified by 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 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 (53)
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47. A database storing an arbitrary number of populations, for searching a population to which a piece of sample information as an object of classification belongs, 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 (54)
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Specification