Seguir
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.
Dirección de correo verificada de cuhk.edu.cn - Página principal
Título
Citado por
Citado por
Año
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
120902005
Minimum redundancy feature selection from microarray gene expression data
C Ding, H Peng
Journal of bioinformatics and computational biology 3 (02), 185-205, 2005
36402005
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
25172010
K-means clustering via principal component analysis
C Ding, X He
Proceedings of the twenty-first international conference on Machine learning, 29, 2004
21792004
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
15972006
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
15862008
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
13912005
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
12572001
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
12572001
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
9192001
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
8352006
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
5302001
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
5142012
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
4962011
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
4252008
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
4232006
Robust nonnegative matrix factorization using l21-norm
D Kong, C Ding, H Huang
Proceedings of the 20th ACM international conference on Information and …, 2011
3992011
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
3972008
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20