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» A divide-and-merge methodology for clustering
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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 1 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
DMIN
2006
120views Data Mining» more  DMIN 2006»
14 years 11 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan
INFOVIS
2005
IEEE
15 years 3 months ago
Multivariate Glyphs for Multi-Object Clusters
Aggregating items can simplify the display of huge quantities of data values at the cost of losing information about the attribute values of the individual items. We propose a dis...
Eleanor Boyle Chlan, Penny Rheingans
ACPC
1999
Springer
15 years 2 months ago
Modeling and Scheduling for MPEG-4 Based Video Encoder Using a Cluster of Workstations
In this paper, we first present an Object Composition Petri Nets (OCPN) based model methodology for describing the dynamic behaviour of the multiple video objects and user interac...
Yong He, Ishfaq Ahmad, Ming L. Liou
ICPR
2010
IEEE
15 years 1 months ago
Multiple Atlas Inference and Population Analysis with Spectral Clustering
In medical imaging, constructing an atlas and bringing an image set in a single common reference frame may easily lead the analysis to erroneous conclusions, especially when the po...
Giorgos Sfikas, Christian Heinrich, Christophoros ...