Description Usage Arguments Details See Also
From conclus object, assign cluster memberships to all items in a dissimilarity matrix
1 | assignClusters(d, conclus, k)
|
d |
A dissimilarity matrix containing a full dataset from which a subset
has been used in |
conclus |
An object of class 'conclus'. |
k |
The number of clusters you believe there to be. |
With 'large' datasets, dissimilarity matrices get big and it is sometimes useful to do clustering on the basis of a subset, to conserve memory. Once clusters have been identified, the cluster members of the items not in the subset might be required. This function obtains them by finding the representative items, on the basis of item consensus, and allocating other items on the basis of their minum distance from the represenetatives.
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