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- Joshua Zhexue Huang
- Data Mining and Knowledge Discovery
- 1998

The k-means algorithm is well known for its efficiency in clustering large data sets. However, working only on numeric values prohibits it from being used to cluster real world data containingâ€¦ (More)

- 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)

- Joshua Zhexue Huang
- DMKD
- 1997

Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation because of its efficiencyâ€¦ (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)

- Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng
- Comput. Sci. Inf. Syst.
- 2005

An outlier in a dataset is an observation or a point that is considerably dissimilar to or inconsistent with the remainder of the data. Detection of such outliers is important for many applicationsâ€¦ (More)

- Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan
- Knowl.-Based Syst.
- 2012

0950-7051/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.knosys.2011.07.017 â‡‘ Corresponding author at: Shenzhen Institutes of A Academy of Sciences, Shenzhen 518055, China. E-mail addresses:â€¦ (More)

- Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He
- IEEE Transactions on Pattern Analysis and Machineâ€¦
- 2007

This correspondence describes extensions to the k-modes algorithm for clustering categorical data. By modifying a simple matching dissimilarity measure for categorical objects, a heuristic approachâ€¦ (More)

- Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang
- PAKDD
- 2005

This paper presents a new method to solve the problem of clustering large and complex text data. The method is based on a new subspace clustering algorithm that automatically calculates the featureâ€¦ (More)