Hierarchical Clustering 

start with all M day patterns
compute mutual differences, merge most similar: M-1
continue up to 1 root cluster
result: binary hierarchy of clusters
choice of distance metrics 
dendrogram display common
but shows structure of hierarchy, not time distribution

 

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