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v0.3.0 (June 2017)
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@andrewheusser andrewheusser released this 14 Jun 14:21
· 1028 commits to master since this release
v0.3.0
b89123f

This release extends hypertools to support the following dimensionality reduction / manifold learning models:

  • PCA
  • FastICA
  • IncrementalPCA
  • KernelPCA
  • FactorAnalysis
  • TruncatedSVD
  • SparsePCA
  • MiniBatchSparsePCA
  • DictionaryLearning
  • MiniBatchDictionaryLearning
  • TSNE
  • MDS
  • SpectralEmbedding
  • LocallyLinearEmbedding
  • Isomap

The default reduction algorithm was switched from PCA to IncrementalPCA for better handling of large datasets.

Bugs squashed:

  • fixed plot_procrustes example so that rotation matrix is orthonormal
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