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» Measuring the Quality of Approximated Clusterings
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EDBT
2004
ACM
268views Database» more  EDBT 2004»
16 years 1 months ago
DBDC: Density Based Distributed Clustering
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
91
Voted
JEI
2010
83views more  JEI 2010»
15 years 8 days ago
New image-quality measure based on wavelets
Abstract. We present an innovative approach to the objective quality evaluation that could be computed using the mean difference between the original and tested images in different...
Emil Dumic, Sonja Grgic, Mislav Grgic
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 3 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 2 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
137
Voted
UAI
2000
15 years 3 months ago
Value-Directed Belief State Approximation for POMDPs
We consider the problem belief-state monitoring for the purposes of implementing a policy for a partially-observable Markov decision process (POMDP), specifically how one might ap...
Pascal Poupart, Craig Boutilier