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Results tagged with hierarchical-clustering
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Hierarchical cluster analysis is a method of cluster analysis which builds, by steps, a hierarchy of clusters, a dendrogram. Most popular is agglomerative hierarchical clustering (HAC) which starts from individual objects and collects them into bigger and bigger clusters.
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Hierarchical clustering of categorical variables in R - alternative algorithms / tools
I am running a hierarchical clustering process in R, using daisyto compute a dissimilarity matrix and agnes for hierarchical clustering, as described in Clustering of mixed type data with R.
With my …
- 407
8
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Hierarchical clustering with agnes - how to cut the tree?
I am working on a data.frame with both categorical and metric variables
# example data
a <- as.factor(c("A","A","B","C","D","A","C","A","C","C"))
b <- rep(1:5,2)
c <- as.factor(c("elephant","elephant …
- 407
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Do I need to remove duplicate objects for cluster analysis of objects?
I am doing a cluster analyis and I was wondering whether it is possible to remove duplicates from the data set - in order to increase performance.
I work on tables where objects are in rows and varia …
- 407