- Is it possible to do 2-stage cluster analysis in R?
- Can anybody provide me resource on it?
The closest package that I can think of is birch, but it is not available on CRAN anymore so you have to get the source and install it yourself (
R CMD install birch_1.1-3.tar.gz works fine for me, OS X 10.6 with R version 2.13.0 (2011-04-13)). It implements the original algorithm described in
Zhang, T. and Ramakrishnan, R. and Livny, M. (1997). BIRCH: A New Data Clustering Algorithm and Its Applications. Data Mining and Knowledge Discovery, 1, 141-182.
which relies on cluster feature tree, as does SPSS TwoStep (I cannot check, though). There's a possibility of using the k-means algorithm to perform clustering on
birch object (
kmeans.birch()), that is partition the subclusters into k groups such that the sum of squares of all the points in each subcluster to the assigned cluster centers is minimized.
Maybe this also can help: https://cran.r-project.org/web/packages/prcr/
Provides an easy-to-use yet adaptable set of tools to conduct person-center analysis using a two-step clustering procedure. As described in Bergman and El-Khouri (1999)
doi:10.1002/(SICI)1521-4036(199910)41:6%3C753::AID-BIMJ753%3E3.0.CO;2-K, hierarchical clustering is performed to determine the initial partition for the subsequent k-means clustering procedure.