Processing of high-dimensional categorical predictors in...

Details Processing of high-dimensional categorical predictors in... Processing of high-dimensional categorical predictors in...

2011-04-26

2011-04-26

Starks, Jr., Wilbert L (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Reexamination Certificate

active

07933851

ABSTRACT:
Systems and methods provide for preprocessing non-metric response categories in order to efficiently cluster or partition predictors have similar responses. The non-metric response categories are transformed into distance vectors by calculating a frequency count for the response, transforming the frequency count to a proportional value, and calculating a distance vector using the vector of proportional values.

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