期刊
JOURNAL OF STATISTICAL SOFTWARE
卷 91, 期 10, 页码 -出版社
JOURNAL STATISTICAL SOFTWARE
DOI: 10.18637/jss.v091.i10
关键词
dimension reduction; clustering; principal component analysis; multiple correspondence analysis; K-means
We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.
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