Subspace K-means clustering

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Timmerman, Marieke E.; Ceulemans, Eva; De Roover, Kim; Van Leeuwen, Karla;
  • Subject: Cluster analysis | Cluster recovery | Multivariate data | Reduced K-means | K-means | Factorial K-means | Mixtures of factor analyzers | MCLUST | PRINCIPAL COMPONENT ANALYSIS | HIGH-DIMENSIONAL DATA | PARENTAL BEHAVIOR | LOCAL OPTIMA | MODEL | ALGORITHM | COMPLEXITIES | PSYCHOLOGY | REDUCTION | FACTORIAL

To achieve an insightful clustering of multivariate data, we propose subspace K-means. Its central idea is to model the centroids and cluster residuals in reduced spaces, which allows for dealing with a wide range of cluster types and yields rich interpretations of the ... View more
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