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README.md

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@@ -104,7 +104,7 @@ Blog post series - [1 Univariate Selection](http://blog.datadive.net/selecting-g
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[sklearn](https://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html) - t-distributed Stochastic Neighbor Embedding (t-SNE), [intro](https://distill.pub/2016/misread-tsne/). Faster implementations: [lvdmaaten](https://lvdmaaten.github.io/tsne/), [MulticoreTSNE](https://github.com/DmitryUlyanov/Multicore-TSNE).
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[sklearn](http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html) - Truncated SVD (aka LSA).
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[mdr](https://github.com/EpistasisLab/scikit-mdr) - Dimensionality reduction, multifactor dimensionality reduction (MDR).
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[umap](https://github.com/lmcinnes/umap) - Uniform Manifold Approximation and Projection.
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[umap](https://github.com/lmcinnes/umap) - Uniform Manifold Approximation and Projection, [talk](https://www.youtube.com/watch?v=nq6iPZVUxZU).
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[FIt-SNE](https://github.com/KlugerLab/FIt-SNE) - Fast Fourier Transform-accelerated Interpolation-based t-SNE.
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[scikit-tda](https://github.com/scikit-tda/scikit-tda) - Topological Data Analysis, [paper](https://www.nature.com/articles/srep01236), [talk](https://www.youtube.com/watch?v=F2t_ytTLrQ4).
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@@ -291,7 +291,7 @@ Understanding SVM Regression: [slides](https://cs.adelaide.edu.au/~chhshen/teach
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#### Clustering
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[pyclustering](https://github.com/annoviko/pyclustering) - All sorts of clustering algorithms.
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[somoclu](https://github.com/peterwittek/somoclu) - Self-organizing map.
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[hdbscan](https://github.com/scikit-learn-contrib/hdbscan) - Clustering algorithm.
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[hdbscan](https://github.com/scikit-learn-contrib/hdbscan) - Clustering algorithm, [talk](https://www.youtube.com/watch?v=dGsxd67IFiU).
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[nmslib](https://github.com/nmslib/nmslib) - Similarity search library and toolkit for evaluation of k-NN methods.
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[buckshotpp](https://github.com/zjohn77/buckshotpp) - Outlier-resistant and scalable clustering algorithm.
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[merf](https://github.com/manifoldai/merf) - Mixed Effects Random Forest for Clustering, [video](https://www.youtube.com/watch?v=gWj4ZwB7f3o)

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