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- Liping Jing, Michael K. Ng, Joshua Zhexue Huang
- IEEE Transactions on Knowledge and Dataâ€¦
- 2007

This paper presents a new k-means type algorithm for clustering high-dimensional objects in sub-spaces. In high-dimensional data, clusters of objects often exist in subspaces rather than in theâ€¦ (More)

- Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong, Zichen Li
- IEEE Transactions on Pattern Analysis and Machineâ€¦
- 2005

This paper proposes a k-means type clustering algorithm that can automatically calculate variable weights. A new step is introduced to the k-means clustering process to iteratively update variableâ€¦ (More)

- Zhong-Zhi Bai, Gene H. Golub, Michael K. Ng
- SIAM J. Matrix Analysis Applications
- 2003

- Raymond H. Chan, Michael K. Ng
- SIAM Review
- 1996

In this expository paper, we survey some of the latest developments on using precondi-tioned conjugate gradient methods for solving Toeplitz systems. One of the main results is that the complexity ofâ€¦ (More)

- Mila Nikolova, Michael K. Ng
- SIAM J. Scientific Computing
- 2005

We address the minimization of regularized convex cost functions which are customarily used for edge-preserving restoration and reconstruction of signals and images. In order to accelerateâ€¦ (More)

- Elaine Y. Chan, Wai-Ki Ching, Michael K. Ng, Joshua Zhexue Huang
- Pattern Recognition
- 2004

- Joshua Zhexue Huang, Michael K. Ng
- IEEE Trans. Fuzzy Systems
- 1999

This correspondence describes extensions to the fuzzy k-means algorithm for clustering categorical data. By using a simple matching dissimilarity measure for categorical objects and modes instead ofâ€¦ (More)

- Kevin Y. Yip, David Wai-Lok Cheung, Michael K. Ng
- IEEE Transactions on Knowledge and Dataâ€¦
- 2004

In high-dimensional data, clusters can exist in subspaces that hide themselves from traditional clustering methods. A number of algorithms have been proposed to identify such projected clusters, butâ€¦ (More)

- Michael K. Ng, Raymond H. Chan, Wun-Cheung Tang
- SIAM J. Scientific Computing
- 1999

Blur removal is an important problem in signal and image processing. The blurring matrices obtained by using the zero boundary condition (corresponding to assuming dark background outside the scene)â€¦ (More)

- Michael K. Ng, Pierre Weiss, Xiaoming Yuan
- SIAM J. Scientific Computing
- 2010

In this paper, we study alternating direction methods for solving constrained total-variation image restoration and reconstruction problems. Alternating direction methods can be implementableâ€¦ (More)