Simultaneous Dimension Reduction and Clustering via the NMF-EM Algorithm

Léna Carel () and Pierre Alquier ()
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Léna Carel: CREST-ENSAE
Pierre Alquier: CREST-ENSAE

No 2017-38, Working Papers from Center for Research in Economics and Statistics

Abstract: Mixture models are among the most popular tools for model based clustering. However, when the dimension and the number of clusters is large, the estimation as well as the interpretation of the clusters become challenging. We propose a reduced-dimension mixture model, where the K components parameters are combinations of words from a small dictionary - say H words with H

Pages: 30 pages
Date: 2017-09-11
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (1)

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