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Commits on Dec 21, 2011

• ENH demo sparse KMeans on 20news set (it's slow!)

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  larsmans

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Commits on Dec 20, 2011

• Merge branch 'master' into minibatch-kmeans-optim

  ogrisel

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Commits on Dec 19, 2011

• peping8 examples

  

  draxus

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Commits on Nov 6, 2011

• new example to emphasize issues with current naive reinit scheme on sparse data

  ogrisel

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• first stab at a reinit strategy that work on low dim data only

  ogrisel

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• make k-means++ work on sparse input and use it as default for MB k-means

  ogrisel

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Commits on Nov 3, 2011

• switch to lazy sampling with explicit index to divide memory usage almost by 2 and decrease code complexity with no measurable impact on the run time

  ogrisel

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Commits on Oct 9, 2011

• ENH: document clustering example simplification

  ogrisel

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Commits on Sep 27, 2011

• ENH: no need for L2 norm on input in doc clustering

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  ogrisel

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Commits on Sep 13, 2011

• rename ari_score adjusted_rand_score

  larsmans

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Commits on Sep 10, 2011

• FIX: fix broken document clustering example and add ARI to examples

  ogrisel

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Commits on Sep 2, 2011

• Move project directory from scikits.learn to sklearn

  

  Fabian Pedregosa

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• Revert "Move project directory from scikits.learn to sklearn"

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  Fabian Pedregosa

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• Move project directory from scikits.learn to sklearn

  

  Fabian Pedregosa

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Commits on Jul 4, 2011

• changed batch representation from indices to slices.

  pprett

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Commits on Jun 25, 2011

• more tests for (mini-batch) k-means (99% coverage).

  pprett

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Commits on Jun 10, 2011

• set max_terms to 10k. Added spectral clustering.

  pprett

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• Document clustering example updated.

  pprett

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• changed mini batch representation in dense MiniBatchKMeans - saves mem but increases runtime.

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  pprett

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• Use euclidean distance.

  pprett

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Commits on Jun 7, 2011

• added SpectralClustering to document_clustering example.

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  pprett

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• Added different compute_cache functions: dot and euclidean distance.

  pprett

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Commits on Jun 6, 2011

• enh: compute cache only on samples in current batch.

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  pprett

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• Initial checkin of sparse.MiniBatchKmeans clustering + document clustering example on 20 news.

  pprett

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