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ECML
2004
Springer
15 years 5 months ago
Associative Clustering
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Sa...
PAKDD
2004
ACM
108views Data Mining» more  PAKDD 2004»
15 years 5 months ago
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index
We introduce a numerical measure on sets of partitions of finite sets that is linked to the Goodman-Kruskal association index commonly used in statistics. This measure allows us t...
Dan A. Simovici, Szymon Jaroszewicz
ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
15 years 5 months ago
Analyzing High-Dimensional Data by Subspace Validity
We are proposing a novel method that makes it possible to analyze high dimensional data with arbitrary shaped projected clusters and high noise levels. At the core of our method l...
Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, D...
STACS
2009
Springer
15 years 4 months ago
Almost-Uniform Sampling of Points on High-Dimensional Algebraic Varieties
We consider the problem of uniform sampling of points on an algebraic variety. Specifically, we develop a randomized algorithm that, given a small set of multivariate polynomials ...
Mahdi Cheraghchi, Amin Shokrollahi
CSSW
2007
15 years 1 months ago
Discovering Unknown Connections - the DBpedia Relationship Finder
: The Relationship Finder is a tool for exploring connections between objects in a Semantic Web knowledge base. It offers a new way to get insights about elements in an ontology, i...
Jens Lehmann, Jörg Schüppel, Sören ...