Nominal population metric: clustering of nominal application attributes
First Claim
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1. A method of determining nominal population metrics using a computing device comprising:
- a. comparing one or more attributes from a plurality of entities to obtain one or more difference measures;
b. determining a coverage percentage for attribute pairs based on the one or more attributes; and
c. storing the coverage percentage in a memory of the computing device.
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Abstract
Clustering of nominal attributes using a nominal population metric enables comparisons of entities which are not easily comparable. In some embodiments, nominal population metrics are determined using a similarity matrix and a nominal population matrix using comparisons. In some embodiments, nominal population metrics are determined using a nominal population matrix using distributions. A computing device is able to determine the nominal population metrics with the appropriate hardware and applications configured for computing the nominal population metrics.
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Citations
25 Claims
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1. A method of determining nominal population metrics using a computing device comprising:
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a. comparing one or more attributes from a plurality of entities to obtain one or more difference measures; b. determining a coverage percentage for attribute pairs based on the one or more attributes; and c. storing the coverage percentage in a memory of the computing device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method of determining nominal population metrics using a computing device comprising:
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a. determining a plurality of distributions for one or more attributes from a plurality of entities; b. determining nominal differences based on the plurality of distributions; and c. storing the nominal differences in a memory of the computing device. - View Dependent Claims (11, 12, 13, 14, 15)
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16. A method of determining nominal population metrics using a computing device comprising:
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a. generating a first matrix comprising; i. a first identification column identifying a first set of entities; ii. a second identification column identifying a second set of entities; and iii. a difference measure column containing a difference amount between a first entity identified in the first identification column and a second entity identified in the second identification column; b. generating a second matrix comprising; i. an attribute pair column containing a set of attribute pairs; and ii. a coverage column containing coverage data based on similarities of the attribute pairs in the attribute pair column; c. generating a third matrix comprising; i. the attribute pair column containing the set of attribute pairs; and ii. an inverse coverage column containing inverse coverage data based on the coverage data; and d. storing the third matrix in a memory of the computing device. - View Dependent Claims (17, 18, 19, 20)
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21. A method of determining nominal population metrics using a computing device comprising:
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a. generating a matrix comprising; i. an attribute column containing a plurality of attributes; and ii. a distribution column containing distribution percentages of the plurality of attributes; b. computing a nominal difference utilizing the distribution percentages of the plurality of attributes from the distribution column; and c. storing the nominal difference in a memory in the computing device.
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22. A computing device comprising:
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a. a processor; b. a memory coupled to the processor; and c. an application stored in the memory and processed by the processor, the application for; i. comparing one or more attributes from a plurality of entities to obtain a difference measure; and ii. determining a coverage percentage for attribute pairs based on the one or more attributes. - View Dependent Claims (23, 24)
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25. An apparatus comprising:
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a. a processing component; b. a memory component coupled to the processing component; and c. an application component stored in the memory component and processed by the processing component, the application component for; i. comparing one or more attributes from a plurality of entities to obtain a difference measure; and ii. determining a coverage percentage for attribute pairs based on the one or more attributes.
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Specification