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» Cascade Evaluation of Clustering Algorithms
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SEDE
2008
15 years 1 months ago
Improving Fuzzy Algorithms for Automatic Magnetic Resonance Image Segmentation
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...
SSDBM
2010
IEEE
153views Database» more  SSDBM 2010»
15 years 4 months ago
Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Cluster
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
YongChul Kwon, Dylan Nunley, Jeffrey P. Gardner, M...
JMLR
2011
87views more  JMLR 2011»
14 years 6 months ago
CARP: Software for Fishing Out Good Clustering Algorithms
This paper presents the CLUSTERING ALGORITHMS’ REFEREE PACKAGE or CARP, an open source GNU GPL-licensed C package for evaluating clustering algorithms. Calibrating performance o...
Volodymyr Melnykov, Ranjan Maitra
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 4 days ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
CORR
2007
Springer
116views Education» more  CORR 2007»
14 years 11 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