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» A Framework for Multi-Objective Clustering and Its Applicati...
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ITNG
2010
IEEE
13 years 10 months ago
A Fast and Stable Incremental Clustering Algorithm
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 5 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
14 years 5 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
13 years 10 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu
IHI
2010
198views Healthcare» more  IHI 2010»
12 years 11 months ago
Large-scale multimodal mining for healthcare with mapreduce
Recent advances in healthcare and bioscience technologies and proliferation of portable medical devices are producing massive amounts of multimodal data. The need for parallel pro...
Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mah...