Multi‐view predictive partitioning in high dimensions

Statistical Analysis and Data Mining

Giovanni Montana¹  Brian McWilliams¹ 

[1] Statistics Section, Department of Mathematics, Imperial College London, London, UK

关键词: multi‐;    view clustering;    predictive partitioning;    partial least squares;    subspace learning;    PRESS statistic;    web data mining;   

DOI  :  10.1002/sam.11144

学科分类：社会科学、人文和艺术（综合）

来源: John Wiley & Sons, Inc.

【 摘 要 】

Abstract Many modern data mining applications are concerned with the analysis of datasets in which the observations are described by paired high-dimensional vectorial representations or `views'. Some typical examples can be found in web mining and genomics applications. In this article we present an algorithm for data clustering with multiple views, multi-view predictive partitioning (MVPP), which relies on a novel criterion of predictive similarity between data points. We assume that, within e.

【 授权许可】

Unknown