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» The Method of Quantum Clustering
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SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
15 years 2 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
ECML
2007
Springer
15 years 7 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani
100
Voted
TIME
1997
IEEE
15 years 5 months ago
On Effective Data Clustering in Bitemporal Databases
Temporal databases provide built-in supports for efficient recording and querying of time-evolving data. In this paper, data clustering issues in temporal database environment are...
Jong Soo Kim, Myoung-Ho Kim
RECOMB
2009
Springer
15 years 8 months ago
Inferring the Recent Duplication History of a Gene Cluster
Abstract. Much important evolutionary activity occurs in gene clusters, where a copy of a gene may be free to evolve new functions. Computational methods to extract evolutionary in...
Giltae Song, Louxin Zhang, Tomás Vinar, Web...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 3 months ago
Robust Clustering in Arbitrarily Oriented Subspaces
In this paper, we propose an efficient and effective method to find arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set of possi...
Elke Achtert, Christian Böhm, Jörn David...