Fuzzy Robust PCA with Intra-sample Outlier Process

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概要

• 論文の詳細を見る

• To make Principal Component Analysis (PCA) robust for intra-sample noise, Torre and Black proposed a general analogue outlier process that provides a connection to robust M-estimation. This paper proposes a fuzzy membership approach based on the least squares criterion and Noise Clustering (NC) by Dave for robustifying PCA to intra-sample outliers.

• バイオメディカル・ファジィ・システム学会の論文
• 2004-11-13

著者

• Ichihashi Hidetomo

  Osaka Prefecture University

• HONDA Katsuhiro

  Osaka Prefecture University

関連論文

• Fuzzy Robust PCA with Intra-sample Outlier Process

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