Obserwuj
Chris H.Q. Ding （丁宏强）
Chris H.Q. Ding （丁宏强）
Chair Prof. Chinese Univ of Hong Kong, Shenzhen. Emeritus Prof. Univ of Texas.
Zweryfikowany adres z cuhk.edu.cn - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
H Peng, F Long, C Ding
IEEE Transactions on pattern analysis and machine intelligence 27 (8), 1226-1238, 2005
122732005
Minimum redundancy feature selection from microarray gene expression data
C Ding, H Peng
Journal of bioinformatics and computational biology 3 (02), 185-205, 2005
37072005
Efficient and robust feature selection via joint ℓ2, 1-norms minimization
F Nie, H Huang, X Cai, C Ding
Advances in neural information processing systems 23, 2010
25332010
K-means clustering via principal component analysis
C Ding, X He
Proceedings of the twenty-first international conference on Machine learning, 29, 2004
22012004
Orthogonal nonnegative matrix t-factorizations for clustering
C Ding, T Li, W Peng, H Park
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
16172006
Convex and semi-nonnegative matrix factorizations
CHQ Ding, T Li, MI Jordan
IEEE transactions on pattern analysis and machine intelligence 32 (1), 45-55, 2008
16042008
On the equivalence of nonnegative matrix factorization and spectral clustering
C Ding, X He, HD Simon
Proceedings of the 2005 SIAM international conference on data mining, 606-610, 2005
14002005
A min-max cut algorithm for graph partitioning and data clustering
CHQ Ding, X He, H Zha, M Gu, HD Simon
Proceedings 2001 IEEE international conference on data mining, 107-114, 2001
12622001
A min-max cut algorithm for graph partitioning and data clustering
CHQ Ding, X He, H Zha, M Gu, HD Simon
Proceedings 2001 IEEE international conference on data mining, 107-114, 2001
12622001
Multi-class protein fold recognition using support vector machines and neural networks
CHQ Ding, I Dubchak
Bioinformatics 17 (4), 349-358, 2001
11482001
Spectral relaxation for k-means clustering
H Zha, X He, C Ding, M Gu, H Simon
Advances in neural information processing systems 14, 2001
9272001
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
C Ding, D Zhou, X He, H Zha
Proceedings of the 23rd international conference on Machine learning, 281-288, 2006
8412006
Atomic level simulations on a million particles: The cell multipole method for Coulomb and London nonbond interactions
HQ Ding, N Karasawa, WA Goddard III
The Journal of chemical physics 97 (6), 4309-4315, 1992
5651992
Bipartite graph partitioning and data clustering
H Zha, X He, C Ding, H Simon, M Gu
Proceedings of the tenth international conference on Information and …, 2001
5342001
Symmetric nonnegative matrix factorization for graph clustering
D Kuang, C Ding, H Park
Proceedings of the 2012 SIAM international conference on data mining, 106-117, 2012
5232012
Community discovery using nonnegative matrix factorization
F Wang, T Li, X Wang, S Zhu, C Ding
Data Mining and Knowledge Discovery 22, 493-521, 2011
5012011
On the equivalence between non-negative matrix factorization and probabilistic latent semantic indexing
C Ding, T Li, W Peng
Computational Statistics & Data Analysis 52 (8), 3913-3927, 2008
4272008
The relationships among various nonnegative matrix factorization methods for clustering
T Li, C Ding
Sixth International Conference on Data Mining (ICDM'06), 362-371, 2006
4272006
Robust nonnegative matrix factorization using l21-norm
D Kong, C Ding, H Huang
Proceedings of the 20th ACM international conference on Information and …, 2011
4022011
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
D Wang, T Li, S Zhu, C Ding
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
4012008
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