Convert a cluster vector (from e.g., kmeans) to a keys matrix suitable for scoring item clusters.
The output of the kmeans clustering function produces a vector of cluster membership. The score.items and cluster.cor functions require a matrix of keys. cluster2keys does this.
May also be used to take the output of an ICLUST analysis and find a keys matrix. (By doing a call to the factor2cluster function.
cluster2keys(c)
c |
A vector of cluster assignments or an object of class “kmeans" that contains a vector of clusters. |
Note that because kmeans will not reverse score items, the clusters defined by kmeans will not necessarily match those of ICLUST with the same number of clusters extracted.
keys |
A matrix of keys suitable for score.items or cluster.cor |
William Revelle
test.data <- Harman74.cor$cov kc <- kmeans(test.data,4) keys <- cluster2keys(kc) keys #these match those found by ICLUST cluster.cor(keys,test.data)
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