On online high-dimensional spherical data clustering and feature selection

Abstract

Motivated by the high demand to construct compact and accurate statistical models that are automatically adjustable to dynamic changes, in this paper, we propose an online probabilistic framework for high-dimensional spherical data modeling. The proposed framework allows simultaneous clustering and feature selection in online settings using finite mixtures… (More)
DOI: 10.1016/j.engappai.2012.10.009

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