Nominal population metric: clustering of nominal application attributes
First Claim
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1. A method of determining non-numerical population metrics using a computing device comprising:
- a. comparing a plurality of entities with a processor of the computing device thereby forming one or more entity comparisons, wherein each entity has a common non-numerical attribute and corresponding non-numerical value such that the one or more entity comparisons each associate two of the corresponding non-numerical values forming a non-numerical attribute value pair;
b. determining a coverage percentage for one or more of the non-numerical attribute value pairs based on the one or more entity comparisons with the processor;
c. storing the coverage percentage in a memory of the computing device; and
d. determining a non-numerical population metric based on the coverage percentage with the processor;
wherein the two of the corresponding non-numerical values forming the non-numerical attribute value pair come from different entities of the plurality of entities.
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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
19 Claims
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1. A method of determining non-numerical population metrics using a computing device comprising:
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a. comparing a plurality of entities with a processor of the computing device thereby forming one or more entity comparisons, wherein each entity has a common non-numerical attribute and corresponding non-numerical value such that the one or more entity comparisons each associate two of the corresponding non-numerical values forming a non-numerical attribute value pair; b. determining a coverage percentage for one or more of the non-numerical attribute value pairs based on the one or more entity comparisons with the processor; c. storing the coverage percentage in a memory of the computing device; and d. determining a non-numerical population metric based on the coverage percentage with the processor; wherein the two of the corresponding non-numerical values forming the non-numerical attribute value pair come from different entities of the plurality of entities. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 18)
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11. 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 a plurality of entities thereby forming one or more entity comparisons, wherein each entity has a common non-numerical attribute and corresponding non-numerical value such that the one or more entity comparisons each associate two of the corresponding non-numerical values forming a non-numerical attribute value pair; and ii. determining a coverage percentage for one or more of the non-numerical attribute value pairs based on the one or more entity comparisons; wherein the processor and the memory are integrated into a single device, and further wherein the two of the corresponding non-numerical values forming the non-numerical attribute value pair come from different entities of the plurality of entities. - View Dependent Claims (12, 13, 14, 16)
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15. A system 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 a plurality of entities thereby forming one or more entity comparisons, wherein each entity has a common non-numerical attribute and corresponding non-numerical value such that the one or more entity comparisons each associate two of the corresponding non-numerical values forming a non-numerical attribute value pair; and ii. determining a coverage percentage for one or more of the non-numerical attribute value pairs based on the one or more entity comparisons; wherein the two of the corresponding non-numerical values forming the non-numerical attribute value pair come from different entities of the plurality of entities. - View Dependent Claims (17, 19)
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Specification