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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 7 months ago
A highly-usable projected clustering algorithm for gene expression profiles
Projected clustering has become a hot research topic due to its ability to cluster high-dimensional data. However, most existing projected clustering algorithms depend on some cri...
Kevin Y. Yip, David W. Cheung, Michael K. Ng
WSDM
2009
ACM
131views Data Mining» more  WSDM 2009»
16 years 1 months ago
Diversifying search results
We study the problem of answering ambiguous web queries in a setting where there exists a taxonomy of information, and that both queries and documents may belong to more than one ...
Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverso...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
16 years 1 months ago
Set-Based Boosting for Instance-Level Transfer
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
Eric Eaton, Marie desJardins
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
16 years 27 days 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
2005
IEEE
109views Data Mining» more  ICDM 2005»
16 years 5 days ago
Triple Jump Acceleration for the EM Algorithm
This paper presents the triple jump framework for accelerating the EM algorithm and other bound optimization methods. The idea is to extrapolate the third search point based on th...
Han-Shen Huang, Bou-Ho Yang, Chun-Nan Hsu