Simultaneous data-fitting factor analysis and k-means clustering(Competition 2)

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概要

• 論文の詳細を見る

• A method for simultaneously performing exploratory factor analysis and k-means clustering is proposed. This is achived as an extension of factor analysis model with fixed both common and specific factors. In our strategy, it is avoided that tandem anaylsis problem which makes it impossible for us to interprete the effect of cluster structure. An efficient alternagting least squares algorithm is developed. To illustrate the usefullness, some numerical analysis are conducted.

• 日本計算機統計学会の論文
• 2011-11-11

著者

• Satomura Hironori

  Graduate School Of Human Sciences Osaka University

関連論文

• Simultaneous data-fitting factor analysis and k-means clustering(Competition 2)

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