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CVPR
2008
IEEE
16 years 5 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
127
Voted
IPPS
2009
IEEE
15 years 10 months ago
Adaptative clustering Particle Swarm Optimization
—The performance of Particle Swarm Optimization (PSO) algorithms depends strongly upon the interaction among the particles. The existing communication topologies for PSO (e.g. st...
Salomão S. Madeiro, Carmelo J. A. Bastos Fi...
DASFAA
2008
IEEE
150views Database» more  DASFAA 2008»
15 years 10 months ago
Approximate Clustering of Time Series Using Compact Model-Based Descriptions
Clustering time series is usually limited by the fact that the length of the time series has a significantly negative influence on the runtime. On the other hand, approximative c...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
CSMR
2000
IEEE
15 years 8 months ago
Analyzing Java Software by Combining Metrics and Program Visualization
Shimba, a prototype reverse engineering environment, has been built to support the understanding of Java software. Shimba uses Rigi and SCED to analyze, visualize, and explore the...
Tarja Systä, Ping Yu, Hausi A. Müller
118
Voted
WMPI
2004
ACM
15 years 9 months ago
Cache organizations for clustered microarchitectures
Clustered microarchitectures are an effective organization to deal with the problem of wire delays and complexity by partitioning some of the processor resources. The organization ...
José González, Fernando Latorre, Ant...