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PVLDB
2008
107views more  PVLDB 2008»
15 years 2 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 4 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
COLING
2002
15 years 4 months ago
Concept Discovery from Text
Broad-coverage lexical resources such as WordNet are extremely useful. However, they often include many rare senses while missing domain-specific senses. We present a clustering a...
Dekang Lin, Patrick Pantel
DICTA
2008
15 years 5 months ago
Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
—This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
NAACL
2010
15 years 2 months ago
Multi-Prototype Vector-Space Models of Word Meaning
Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...
Joseph Reisinger, Raymond J. Mooney