CALSAGOS: Clustering algorithms applied to galaxies in overdense systems

Genetic Algorithms Applied to Clustering

In the following paper it is developed an image compression technique using clustering with genetic algorithms. This technique tries to avoid the problems associated with limitations from the operating system (MS-DOS), as Mariano O'kon [1] proposses in his tesis on genetic algorithms. The main problem, appears to be the large size of the data structures used by this kind of algorithms, which ca...

A comparison of clustering algorithms applied to color image quantization

P. Scheunders Vision Lab, Dept. of Physics, RUCA University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium email: [email protected] Abstract: In this paper color image quantization by clustering is discussed. A clustering scheme, based on competitive learning is constructed and compared to the well-known C-means clustering algorithm. It is demonstrated that both perform equally w...

Genetic Algorithms applied to Clustering Problem and Data Mining

Clustering techniques have obtained adequate results when are applied to data mining problems. However, different runs of the same clustering technique on a specific dataset may result in different solutions. The cause of this difference is the choice of the initial cluster setting and the values of the parameters associated with the technique. A definition of good initial settings and optimal ...

Centralized Clustering Method To Increase Accuracy In Ontology Matching Systems

Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...

A Review of Clustering Algorithms as Applied in IR