Unsupervised Feature Selection Based on 3-D Feature Decision Graph for High-dimensional Data

Author:

Jia Hong1ORCID,Weng Yubin1ORCID

Affiliation:

1. Guangdong Key Laboratory of Intelligent Information Processing, China and College of Electronics and Information Engineering, Shenzhen University, China

Publisher

ACM

Reference18 articles.

1. Enhancing density-based clustering: Parameter reduction and outlier detection

2. Richard  O. Duda , Peter  E. Hart , and David  G. Stork . 2012. Pattern Classification . John Wiley & Sons . Richard O. Duda, Peter E. Hart, and David G. Stork. 2012. Pattern Classification. John Wiley & Sons.

3. Unsupervised feature selection based on decision graph

4. Xiaofei He , Deng Cai , and Partha Niyogi . 2005. Laplacian score for feature selection. Advances in Neural Information Processing Systems 18 ( 2005 ). Xiaofei He, Deng Cai, and Partha Niyogi. 2005. Laplacian score for feature selection. Advances in Neural Information Processing Systems 18 (2005).

5. SPARSITY SCORE: A NOVEL GRAPH-PRESERVING FEATURE SELECTION METHOD

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