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‎0.15/modules/generated/sklearn.manifold.spectral_embedding.html

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<li>Toward the Optimal Preconditioned Eigensolver: Locally Optimal
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Block Preconditioned Conjugate Gradient Method
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Andrew V. Knyazev
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‎0.15/modules/generated/sklearn.metrics.matthews_corrcoef.html

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<tr><td class="label"><a class="fn-backref" href="#id1">[R163]</a></td><td><a class="reference external" href="http://dx.doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
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<tr><td class="label"><a class="fn-backref" href="#id1">[R163]</a></td><td><a class="reference external" href="https://doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
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‎0.16/modules/generated/sklearn.manifold.spectral_embedding.html

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‎0.16/modules/generated/sklearn.metrics.matthews_corrcoef.html

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‎0.17/_sources/modules/clustering.txt

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* Vinh, Epps, and Bailey, (2009). "Information theoretic measures
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for clusterings comparison". Proceedings of the 26th Annual International
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Conference on Machine Learning - ICML '09.
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`doi:10.1145/1553374.1553511 <http://dx.doi.org/10.1145/1553374.1553511>`_.
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`doi:10.1145/1553374.1553511 <https://doi.org/10.1145/1553374.1553511>`_.
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* Peter J. Rousseeuw (1987). "Silhouettes: a Graphical Aid to the
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and Applied Mathematics 20: 53–65.
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`doi:10.1016/0377-0427(87)90125-7 <http://dx.doi.org/10.1016/0377-0427(87)90125-7>`_.
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`doi:10.1016/0377-0427(87)90125-7 <https://doi.org/10.1016/0377-0427(87)90125-7>`_.
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‎0.17/modules/clustering.html

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for clusterings comparison&#8221;. Proceedings of the 26th Annual International
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Conference on Machine Learning - ICML &#8216;09.
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<a class="reference external" href="http://dx.doi.org/10.1145/1553374.1553511">doi:10.1145/1553374.1553511</a>.
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Clusterings Comparison: Variants, Properties, Normalization and
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<li>Peter J. Rousseeuw (1987). &#8220;Silhouettes: a Graphical Aid to the
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Interpretation and Validation of Cluster Analysis&#8221;. Computational
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<a class="reference external" href="http://dx.doi.org/10.1016/0377-0427(87)90125-7">doi:10.1016/0377-0427(87)90125-7</a>.</li>
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‎0.17/modules/generated/sklearn.manifold.spectral_embedding.html

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Andrew V. Knyazev
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‎0.17/modules/generated/sklearn.metrics.matthews_corrcoef.html

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‎0.18/_sources/modules/clustering.txt

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* Caliński, T., & Harabasz, J. (1974). "A dendrite method for cluster
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