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195
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MLDM
2007
Springer
16 years 25 days ago
Kernel MDL to Determine the Number of Clusters
In this paper we propose a new criterion, based on Minimum Description Length (MDL), to estimate an optimal number of clusters. This criterion, called Kernel MDL (KMDL), is particu...
Ivan O. Kyrgyzov, Olexiy O. Kyrgyzov, Henri Ma&ici...
IDA
2003
Springer
15 years 12 months ago
An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering
Abstract. Since minimum sum-of-squares clustering (MSSC) is an NPhard combinatorial optimization problem, applying techniques from global optimization appears to be promising for r...
Peter Merz
185
Voted
CORR
2007
Springer
198views Education» more  CORR 2007»
15 years 6 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
CSB
2003
IEEE
150views Bioinformatics» more  CSB 2003»
16 years 3 hour ago
Algorithms for Bounded-Error Correlation of High Dimensional Data in Microarray Experiments
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
IS
2010
15 years 5 months ago
DB-SMoT: A direction-based spatio-temporal clustering method
—Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed ...
Jose Antonio M. R. Rocha, Valéria Ces&aacut...