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Consider directly using the newest version of SpectralCluster #8

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wq2012 opened this issue Jul 9, 2022 · 0 comments
Open

Consider directly using the newest version of SpectralCluster #8

wq2012 opened this issue Jul 9, 2022 · 0 comments

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@wq2012
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wq2012 commented Jul 9, 2022

The SpectralCluster library has iterated many versions.

The newest versions have much more functionalities, including custom distances for K-means like cosine.

Please consider directly importing the newest version of this library instead of a nested fork 😄

image

Also, you can directly use the equivalent config in the ICASSP2018 paper in a few lines:

from spectralcluster import configs

labels = configs.icassp2018_clusterer.predict(X)
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