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» Cascade Evaluation of Clustering Algorithms
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WEBI
2005
Springer
15 years 3 months ago
Standardized Evaluation Method for Web Clustering Results
Finding a set of web pages relevant to a user’s information goal is difficult due to the enormous size of the Internet. Search engines are able to find a set of pages that mat...
Daniel Crabtree, Xiaoying Gao, Peter Andreae
ICML
2005
IEEE
15 years 10 months ago
Supervised clustering with support vector machines
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Thomas Finley, Thorsten Joachims
80
Voted
IBPRIA
2003
Springer
15 years 2 months ago
Incrementally Assessing Cluster Tendencies with a Maximum Variance Cluster Algorithm
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
Krzysztof Rzadca, Francesc J. Ferri
PSIVT
2009
Springer
139views Multimedia» more  PSIVT 2009»
15 years 2 months ago
Recovery Rate of Clustering Algorithms
This article provides a simple and general way for defining the recovery rate of clustering algorithms using a given family of old clusters for evaluating the performance of the a...
Fajie Li, Reinhard Klette
83
Voted
CIDM
2009
IEEE
15 years 2 months ago
An architecture and algorithms for multi-run clustering
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadee...