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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 10 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 10 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
2006
ACM
122views Data Mining» more  KDD 2006»
14 years 10 months ago
Tensor-CUR decompositions for tensor-based data
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
Michael W. Mahoney, Mauro Maggioni, Petros Drineas
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 10 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
CHI
2006
ACM
14 years 10 months ago
Robot-human interaction with an anthropomorphic percussionist
The paper presents our approach for human-machine interaction with an anthropomorphic mechanical percussionist that can listen to live players, analyze perceptual musical aspects ...
Gil Weinberg, Scott Driscoll
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