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COCOON
2009
Springer
16 years 1 months ago
Graph-Based Data Clustering with Overlaps
We introduce overlap cluster graph modification problems where, other than in most previous work, the clusters of the target graph may overlap. More precisely, the studied graph p...
Michael R. Fellows, Jiong Guo, Christian Komusiewi...
AUSAI
2009
Springer
16 years 1 months ago
Enhancing MML Clustering Using Context Data with Climate Applications
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
Gerhard Visser, David L. Dowe, Petteri Uotila
SBBD
2003
135views Database» more  SBBD 2003»
15 years 7 months ago
Privacy Preserving Clustering by Data Transformation
Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security,...
Stanley R. M. Oliveira, Osmar R. Zaïane
JMLR
2010
175views more  JMLR 2010»
15 years 1 months ago
Hierarchical Convex NMF for Clustering Massive Data
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
Kristian Kersting, Mirwaes Wahabzada, Christian Th...
SODA
2012
ACM
223views Algorithms» more  SODA 2012»
13 years 8 months ago
Data reduction for weighted and outlier-resistant clustering
Statistical data frequently includes outliers; these can distort the results of estimation procedures and optimization problems. For this reason, loss functions which deemphasize ...
Dan Feldman, Leonard J. Schulman