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108
Voted
ICML
2009
IEEE
16 years 4 months ago
Multi-assignment clustering for Boolean data
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
Andreas P. Streich, Mario Frank, David A. Basin, J...
136
Voted
ICML
2009
IEEE
16 years 4 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
113
Voted
ICML
2007
IEEE
16 years 4 months ago
Support cluster machine
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue
122
Voted
ICML
2006
IEEE
16 years 4 months ago
Spectral clustering for multi-type relational data
Clustering on multi-type relational data has attracted more and more attention in recent years due to its high impact on various important applications, such as Web mining, e-comm...
Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip...
170
Voted
ICSE
2009
IEEE-ACM
16 years 4 months ago
Tesseract: Interactive visual exploration of socio-technical relationships in software development
Software developers have long known that project success requires a robust understanding of both technical and social linkages. However, research has largely considered these inde...
Anita Sarma, Larry Maccherone, Patrick Wagstrom, J...
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