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Results tagged with clustering
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user 139958
Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]
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Stability analysis on TwoStep clustering SPSS
I used TwoStep clustering in order to cluster my binary data in SPSS. … Do someone know how to conduct a stability analysis for clusters (two step clustering used) in SPSS? For instance like the method from Blashfield Macintyre (1980)? …
- 173
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Jaccard coefficient (0011 and 1100 most similar?)
Now I want to cluster theses guys using hierarchical clustering:
hc <- hclust(distance, method = "ward.D")
plot(hc)
The result again confused me, as abc1 and abc3 are first clustered together before … Why is the clustering (based on the distances computed by the jaccard coefficient) then clustering first abc1 and abc3 together (which is right in my opinion) and then merges them with abc2?
3. …
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