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An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 2015.
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Eigenmap.m
EuDist2.m
FSASL.m add file Dec 16, 2014
L2_distance.m add file Dec 16, 2014
LabelFormat.m add file Dec 16, 2014
LeastR.m add file Dec 16, 2014
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README.md Update README.md Oct 17, 2017
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exp1_aio.m Update exp1_aio.m Dec 11, 2015
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litekmeans.m
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README.md

FSASL

An unsupervised feature selection algorithm with adaptive structure learning.

The code is used to generate fully reproducible experimental results in [1].

[1]Liang Du and Yi-Dong Shen. Unsupervised Feature Selection with Adaptive Structure Learning. in Proceedings of the 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages 209-218, Sydney, Australia, August 10–13, 2015.

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