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» An objective evaluation criterion for clustering
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COLING
2010
13 years 2 months ago
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
Ang Sun, Ralph Grishman
CORR
2007
Springer
116views Education» more  CORR 2007»
13 years 7 months ago
DOEF: A Dynamic Object Evaluation Framework
Abstract. In object-oriented or object-relational databases such as multimedia databases or most XML databases, access patterns are not static, i.e., applications do not always acc...
Zhen He, Jérôme Darmont
ICPR
2008
IEEE
14 years 2 months ago
An extended version of the k-means method for overlapping clustering
This paper deals with overlapping clustering, a trade off between crisp and fuzzy clustering. It has been motivated by recent applications in various domains such as information r...
Guillaume Cleuziou
IWCIA
2004
Springer
14 years 1 months ago
Performance Evaluation of Binarizations of Scanned Insect Footprints
The paper compares six conventional binarization methods for the special purpose of subsequent analysis of scanned insect footprints. We introduce a new performance criterion for p...
Young Woon Woo
DBA
2004
113views Database» more  DBA 2004»
13 years 9 months ago
A Quality Measure for Distributed Clustering
Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle