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DKE
2006
118views more  DKE 2006»
13 years 7 months ago
Clustering e-commerce search engines based on their search interface pages using WISE-Cluster
In this paper, we propose a new approach to clustering e-commerce search engines (ESEs) on the Web. Our approach utilizes the features available on the interface page of each ESE,...
Yiyao Lu, Hai He, Qian Peng, Weiyi Meng, Clement T...
EMNLP
2006
13 years 9 months ago
Graph-based Word Clustering using a Web Search Engine
Word clustering is important for automatic thesaurus construction, text classification, and word sense disambiguation. Recently, several studies have reported using the web as a c...
Yutaka Matsuo, Takeshi Sakaki, Koki Uchiyama, Mits...
FLAIRS
2007
13 years 10 months ago
Improving Cluster Method Quality by Validity Indices
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Narjes Hachani, Habib Ounelli
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
BMCBI
2006
119views more  BMCBI 2006»
13 years 7 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs