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Michael K. Ng

Papers on DiSC'06


On discovery of extremely low-dimensional clusters using semi-supervised projected clustering

Publications


Note: Links lead to the DBLP on the Web.

Michael K. Ng

Michael K. Ng: A Recursive Method for Solving Haplotype Frequencies in Multiple Loci Linkage Analysis. APBC 2006 : 129-138

Tatsuya Akutsu , Morihiro Hayashida , Wai-Ki Ching , Michael K. Ng: On the Complexity of Finding Control Strategies for Boolean Networks. APBC 2006 : 99-108

Haoying Fu , Michael K. Ng, Mila Nikolova , Jesse L. Barlow , Wai-Ki Ching : Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration. ICCSA (4) 2005 : 843-851

Kevin Y. Yip , David W. Cheung , Michael K. Ng: On Discovery of Extremely Low-Dimensional Clusters using Semi-Supervised Projected Clustering. ICDE 2005 : 329-340

Lin Cheung , Kevin Y. Yip , David W. Cheung , Ben Kao , Michael K. Ng: On Mining Micro-array data by Order-Preserving Submatrix. ICDE Workshops 2005 : 1153

Liping Jing , Michael K. Ng, Jun Xu , Joshua Zhexue Huang : Subspace Clustering of Text Documents with Feature Weighting K -Means Algorithm. PAKDD 2005 : 802-812

Liping Jing , Michael K. Ng, Jun Xu , Joshua Zhexue Huang : On the Performance of Feature Weighting K -Means for Text Subspace Clustering. WAIM 2005 : 502-512

Joshua Zhexue Huang , Michael K. Ng, Hongqiang Rong , Zichen Li : Automated Variable Weighting in k-Means Type Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 27 (5): 657-668 (2005)

Henry Y. T. Ngan , Grantham K. H. Pang , S. P. Yung , Michael Kwok-Po Ng: Wavelet based methods on patterned fabric defect detection. Pattern Recognition 38 (4): 559-576 (2005)

Edmond HaoCun Wu , Michael K. Ng, Joshua Zhexue Huang : An Efficient Multidimensional Data Model for Web Usage Mining. APWeb 2004 : 373-383

Kevin Y. Yip , David W. Cheung , Michael K. Ng, Kei-Hoi Cheung : Identifying Projected Clusters from Gene Expression Profiles. BIBE 2004 : 259-266

Edmond HaoCun Wu , Michael K. Ng, Andy M. Yip , Tony F. Chan : Discretization of Multidimensional Web Data for Informative Dense Regions Discovery. CIS 2004 : 718-724

Edmond HaoCun Wu , Michael K. Ng, Joshua Zhexue Huang : On Improving Website Connectivity by Using Web-Log Data Streams. DASFAA 2004 : 352-364

Wai-Ki Ching , Eric S. Fung , Michael K. Ng: Building Genetic Networks for Gene Expression Patterns. IDEAL 2004 : 17-24

Edmond HaoCun Wu , Michael K. Ng, Andy M. Yip , Tony F. Chan : A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment. IDEAL 2004 : 565-571

Andy M. Yip , Edmond HaoCun Wu , Michael K. Ng, Tony F. Chan : Unsupervised Dense Regions Discovery in DNA Microarray Data. IDEAL 2004 : 71-77

Liping Jing , Joshua Zhexue Huang , Michael K. Ng, Hongqiang Rong : A Feature Weighting Approach to Building Classification Models by Interactive Clustering. MDAI 2004 : 284-294

Andy M. Yip , Edmond HaoCun Wu , Michael K. Ng, Tony F. Chan : An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams. PAKDD 2004 : 116-120

Qiming Huang , Qiang Yang , Joshua Zhexue Huang , Michael K. Ng: Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. PAKDD 2004 : 549-558

You-Wei Wen , Michael K. Ng, Wai-Ki Ching , Hong Liu : A note on the stability of Toeplitz matrix inversion formulas. Appl. Math. Lett. 17 (8): 903-907 (2004)

Kevin Y. Yip , David W. Cheung , Michael K. Ng: HARP: A Practical Projected Clustering Algorithm. IEEE Trans. Knowl. Data Eng. 16 (11): 1387-1397 (2004)

Elaine Y. Chan , Wai-Ki Ching , Michael K. Ng, Joshua Zhexue Huang : An optimization algorithm for clustering using weighted dissimilarity measures. Pattern Recognition 37 (5): 943-952 (2004)

Fu-Rong Lin , Wai-Ki Ching , Michael K. Ng: Fast inversion of triangular Toeplitz matrices. Theor. Comput. Sci. 315 (2-3): 511-523 (2004)

Henry Y. T. Ngan , Grantham K. H. Pang , S. P. Yung , Michael K. Ng: Defect Detection on Patterned Jacquard Fabric. AIPR 2003 : 163-168

Kevin Y. Yip , David W. Cheung , Michael K. Ng: A highly-usable projected clustering algorithm for gene expression profiles. BIOKDD 2003 : 41-48

Wai-Ki Ching , Michael K. Ng, Wai-On Yuen : A Direct Method for Block-Toeplitz Systems with Applications to Re-manufacturing Systems. ICCSA (1) 2003 : 912-920

Wai-Ki Ching , Eric S. Fung , Michael K. Ng: Higher-Order Hidden Markov Models with Applications to DNA Sequences. IDEAL 2003 : 535-539

Edmond HaoCun Wu , Michael K. Ng: A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules. PAKDD 2003 : 178-190

Qiang Yang , Joshua Zhexue Huang , Michael K. Ng: A Data Cube Model for Prediction-Based Web Prefetching. J. Intell. Inf. Syst. 20 (1): 1-30 (2003)

Michael K. Ng, Mila Nikolova : Comparison of the main forms of half-quadratic regularization. ICIP (1) 2002 : 349-352

Michael K. Ng, Joshua Zhexue Huang : M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. PAKDD 2002 : 224-236

Michael K. Ng, Joyce C. Wong : Clustering categorical data sets using tabu search techniques. Pattern Recognition 35 (12): 2783-2790 (2002)

Zhexue Huang , Michael K. Ng, David Wai-Lok Cheung : An Empirical Study on the Visual Cluster Validation Method with Fastmap. DASFAA 2001 : 84-91

Mila Nikolova , Michael K. Ng: Fast image reconstruction algorithms combining half-quadratic regularization and preconditioning. ICIP (1) 2001 : 277-280

Jeffrey Xu Yu , Michael K. Ng, Joshua Zhexue Huang : Patterns Discovery Based on Time-Series Decomposition. PAKDD 2001 : 336-347

Joshua Zhexue Huang , Michael K. Ng, Wai-Ki Ching , Joe Ng , David Wai-Lok Cheung : A Cube Model and Cluster Analysis for Web Access Sessions. WEBKDD 2001 : 48-67

Zhexue Huang , Michael K. Ng, Tao Lin , David Wai-Lok Cheung : An Interactive Approach to Building Classification Models by Clustering and Cluster Validation. IDEAL 2000 : 23-28

Joyce C. Wong , Michael K. Ng: A Tabu Search Based Algorithm for Clustering Categorical Data Sets. IDEAL 2000 : 559-564

Michael K. Ng, Wilson C. Kwan , Raymond H. Chan : A Fast Algorithm for High-Resolution Color Image Reconstruction with Multisensors. NAA 2000 : 615-627

Daniele Bertaccini , Michael K. Ng: Skew-Circulant Preconditioners for Systems of LMF-Based ODE Codes. NAA 2000 : 93-101

Michael K. Ng, Robert J. Plemmons , Sanzheng Qiao : Regularization of RIF blind image deconvolution. IEEE Transactions on Image Processing 9 (6): 1130-1134 (2000)

Michael K. Ng: K-Means-Type Algorithms on Distributed Memory Computer. International Journal of High Speed Computing 11 (2): 75-91 (2000)

Michael K. Ng: A note on constrained k-means algorithms. Pattern Recognition 33 (3): 515-519 (2000)

Wilson C. Kwan , Michael K. Ng: Iterative Methods for Phase Diversity-Based Blind Deconvolution in Atmospheric Optics. ICIP (1) 1999 : 198-200

Michael K. Ng, Wilson C. Kwan : Map Regularized Image Reconstruction with Multisensors. ICIP (3) 1999 : 464-468

Michael K. Ng, Zhexue Huang : Data-mining massive time series astronomical data: challenges, problems and solutions. Information & Software Technology 41 (9): 545-556 (1999)

Michael K. Ng, Zhexue Huang , Markus Hegland : Data-Mining Massive Time Series Astronomical Data Sets - A Case Study. PAKDD 1998 : 401-402

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