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Results tagged with clustering
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user 67168
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.]
3
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0
answers
56
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clustering verifying two basic invariance properties
I recently became interested in axiomatic definitions of clustering, cf. work of
Kleinberg : http://machinelearning.wustl.edu/mlpapers/paper_files/LT17.pdf
Ben-David : http://machinelearning.wustl.edu … To me, the fact that these clustering are not permutation invariant should prevent locality (if two or more clusters are at the same distance while building the dendrogram, different dendrograms can be …
- 4,560
120
votes
6
answers
179k
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What is the relation between k-means clustering and PCA?
It is a common practice to apply PCA (principal component analysis) before a clustering algorithm (such as k-means). … for K-means clustering". …
- 4,560
2
votes
1
answer
422
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Is Minimax Linkage a Lance-Williams hierarchical clustering?
I found the following article on "Hierarchical Clustering With Prototypes
via Minimax Linkage".
It is stated in Property 6 that
Minimax linkage cannot be written using Lance–Williams updates. …
- 4,560