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NIPS
2008
15 years 8 months ago
Clusters and Coarse Partitions in LP Relaxations
We propose a new class of consistency constraints for Linear Programming (LP) relaxations for finding the most probable (MAP) configuration in graphical models. Usual cluster-base...
David Sontag, Amir Globerson, Tommi Jaakkola
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
15 years 8 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 7 months ago
Superstate identification for state machines using search-based clustering
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
Mathew Hall, Phil McMinn, Neil Walkinshaw
CORR
2010
Springer
157views Education» more  CORR 2010»
15 years 7 months ago
Efficient Clustering with Limited Distance Information
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model ...
Konstantin Voevodski, Maria-Florina Balcan, Heiko ...
ADC
2010
Springer
204views Database» more  ADC 2010»
15 years 1 months ago
Systematic clustering method for l-diversity model
Nowadays privacy becomes a major concern and many research efforts have been dedicated to the development of privacy protecting technology. Anonymization techniques provide an eff...
Md. Enamul Kabir, Hua Wang, Elisa Bertino, Yunxian...