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@@ -10,7 +10,7 @@ This Python toolbox was developed by [Jeremy Manning](http://www.context-lab.com
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SeqNMF uses regularized convolutional non-negative matrix factorization to extract repeated sequential patterns from high-dimensional data. The algorithm can discovery of patterns directly from timeseries data without reference to external markers or labels.
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