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CORR
2010
Springer
249views Education» more  CORR 2010»
15 years 4 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
IPM
2007
158views more  IPM 2007»
15 years 4 months ago
Validation and interpretation of Web users' sessions clusters
Understanding users’ navigation on the Web is important towards improving the quality of information and the speed of accessing large-scale Web data sources. Clustering of users...
George Pallis, Lefteris Angelis, Athena Vakali
PAMI
2002
106views more  PAMI 2002»
15 years 3 months ago
Performance Evaluation of Some Clustering Algorithms and Validity Indices
In this article, we evaluate the performance of three clustering algorithms, hard K-Means, single linkage, and a simulated annealing (SA) based technique, in conjunction with four ...
Ujjwal Maulik, Sanghamitra Bandyopadhyay
PVLDB
2008
107views more  PVLDB 2008»
15 years 2 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
WCRE
2010
IEEE
15 years 2 months ago
Evaluating the Impact of Software Evolution on Software Clustering
—The evolution of a software project is a rich data source for analyzing and improving the software development process. Recently, several research groups have tried to cluster s...
Fabian Beck, Stephan Diehl