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ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
15 years 12 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 12 months ago
Finding Cohesive Clusters for Analyzing Knowledge Communities
Documents and authors can be clustered into “knowledge communities” based on the overlap in the papers they cite. We introduce a new clustering algorithm, Streemer, which fin...
Vasileios Kandylas, S. Phineas Upham, Lyle H. Unga...
WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
15 years 11 months ago
Possibilistic Clustering in Feature Space
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
AAAI
2007
15 years 8 months ago
Clustering with Local and Global Regularization
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
Fei Wang, Changshui Zhang, Tao Li
ICDM
2007
IEEE
103views Data Mining» more  ICDM 2007»
15 years 12 months ago
Mechanism Design for Clustering Aggregation by Selfish Systems
We propose a market mechanism that can be implemented on clustering aggregation problem among selfish systems, which tend to lie about their correct clustering during aggregation ...
Pinata Winoto, Yiu-ming Cheung, Jiming Liu