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CIKM
2009
Springer
14 years 3 months ago
Maximal metric margin partitioning for similarity search indexes
We propose a partitioning scheme for similarity search indexes that is called Maximal Metric Margin Partitioning (MMMP). MMMP divides the data on the basis of its distribution pat...
Hisashi Kurasawa, Daiji Fukagawa, Atsuhiro Takasu,...
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
14 years 11 days ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu
IJIT
2004
13 years 10 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
14 years 9 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
COCOA
2008
Springer
13 years 10 months ago
Going Weighted: Parameterized Algorithms for Cluster Editing
The goal of the Cluster Editing problem is to make the fewest changes to the edge set of an input graph such that the resulting graph is a disjoint union of cliques. This problem i...
Sebastian Böcker, Sebastian Briesemeister, Qu...