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ICANNGA
2009
Springer
133views Algorithms» more  ICANNGA 2009»
16 years 1 months ago
Visualizing Time Series State Changes with Prototype Based Clustering
Modern process and condition monitoring systems produce a huge amount of data which is hard to analyze manually. Previous analyzing techniques disregard time information and concen...
Markus Pylvänen, Sami Äyrämö, ...
WABI
2007
Springer
16 years 19 days ago
A Graph Clustering Approach to Weak Motif Recognition
The aim of the motif recognition problem is to detect a set of mutually similar subsequences within a collection of biological sequences. The weak motif recognition problem on DNA ...
Christina Boucher, Daniel G. Brown, Paul Church
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
15 years 12 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
KAIS
2006
110views more  KAIS 2006»
15 years 6 months ago
Multi-step density-based clustering
Abstract. Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex dista...
Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfei...
PAA
2006
15 years 6 months ago
Efficient median based clustering and classification techniques for protein sequences
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
P. A. Vijaya, M. Narasimha Murty, D. K. Subramania...