Question: a newbie question on ConsensusClusterPlus
gravatar for niki.nowhere
3 months ago by
niki.nowhere0 wrote:

hi, i performed consensus clustering using K-means algorithm as follows:

results <- ConsensusClusterPlus(d, maxK=10, rep=1000, pItem=0.8, pFeature=1, clusterAlg="km")

now I decided to choose K=4, and want to draw a heatmap showing a row dendrogram for features used for clustering and column labels for clusters so that I can identify determining features for each cluster.

i've googled about it and found a tutorial (, but i'm not quite sure whether it's a right choice for me or not. is results[[4]]["consensusTree"] for this purpose? any kind of comments would be greatly appreciated. thanks!!

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