发明名称 Processing of high-dimensional categorical predictors in classification settings
摘要 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.
申请公布号 US7933851(B2) 申请公布日期 2011.04.26
申请号 US20040837246 申请日期 2004.04.30
申请人 INTEL CORPORATION 发明人 TUV EUGENE
分类号 G06N5/00;G06F7/00;G06F15/18;G06F17/00 主分类号 G06N5/00
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