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FIX spherical k-means confusion in example #23380

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merged 1 commit into from May 18, 2022
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FIX spherical k-means confusion in example #23380

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5 changes: 2 additions & 3 deletions examples/text/plot_document_clustering.py
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Expand Up @@ -204,9 +204,8 @@ def is_interactive():
if opts.n_components:
print("Performing dimensionality reduction using LSA")
t0 = time()
# Vectorizer results are normalized, which makes KMeans behave as
# spherical k-means for better results. Since LSA/SVD results are
# not normalized, we have to redo the normalization.
# Since LSA/SVD results are not normalized,
# we redo the normalization to improve the k-means result.
svd = TruncatedSVD(opts.n_components)
normalizer = Normalizer(copy=False)
lsa = make_pipeline(svd, normalizer)
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