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PSIVT
2009
Springer
139views Multimedia» more  PSIVT 2009»
15 years 10 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
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
16 years 6 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
IBPRIA
2003
Springer
15 years 11 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
135
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ISVLSI
2005
IEEE
80views VLSI» more  ISVLSI 2005»
15 years 11 months ago
Sensitivity Analysis of a Cluster-Based Interconnect Model for FPGAs
Mesh interconnect can be efficiently utilized while tree networks encourage the short routing distances. In this paper, we present the property analysis of a cluster-based interc...
Renqiu Huang, Ranga Vemuri
ICML
2005
IEEE
16 years 6 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