Distance‐based mixture modeling for classification via hypothetical local mapping

Statistical Analysis and Data Mining

Jia Li¹  Mu Qiao² 

[1] Department of Statistics The Pennsylvania State University University Park, PA 16802 USA;IBM Almaden Research Center San Jose, CA 95120 USA

关键词: classification;    complex data;    distance‐;    based;    hypothetical local mapping;    incremental learning;    kernel density;    large‐;    scale;    mixture modeling;   

DOI  :  10.1002/sam.11285

学科分类：社会科学、人文和艺术（综合）

来源: John Wiley & Sons, Inc.

【 授权许可】

Unknown