Invention Grant
US07933851B2 Processing of high-dimensional categorical predictors in classification settings 有权
在分类设置中处理高维分类预测因子

Processing of high-dimensional categorical predictors in classification settings
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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