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Author: Functional-Data-Clustering

Tutorial.html

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 		<td>Multivariate</td>
 		<td><a href="https://functional-data-clustering.github.io/Tutorials/REM_slides.pdf" target="_blank">Here</a></td>
 		<td><a href="https://pypi.org/project/REMclust/" target="_blank">PyPI</a></td>
-		<td>The <a href="http://www.tara.tcd.ie/bitstream/handle/2262/101920/REM_SIAM.pdf?sequence=5&isAllowed=y" target="_blank">Reinforced EM</a> (REM) algorithm provides an efficient solution to the initilization problem of the EM algorithm for clustering with Gaussian mixture models.<br>
+		<td>The <a href="https://epubs.siam.org/doi/abs/10.1137/1.9781611977653.ch14" target="_blank">Reinforced EM</a> (REM) algorithm provides an efficient solution to the initilization problem of the EM algorithm for clustering with Gaussian mixture models.<br>
 		It initializes the Gaussian means with density-peak exemplars in the data.</td>
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