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ICSM
2005
IEEE
15 years 8 months ago
Comparison of Clustering Algorithms in the Context of Software Evolution
To aid software analysis and maintenance tasks, a number of software clustering algorithms have been proposed to automatically partition a software system into meaningful subsyste...
Jingwei Wu, Ahmed E. Hassan, Richard C. Holt
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
15 years 4 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
2010
151views more  BMCBI 2010»
15 years 2 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
ICDM
2009
IEEE
169views Data Mining» more  ICDM 2009»
15 years 17 days ago
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...
Quanquan Gu, Jie Zhou
SIGIR
2002
ACM
15 years 2 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu