Aims to provide a treatise, with both theoretical and experimental results, describing the basic principles of soft computing and demonstrating the various ways in which they can be used for analyzing biological data in an efficient manner. This book brings together research articles from scientists around the world.
Aims to provide a treatise, with both theoretical and experimental results, describing the basic principles of soft computing and demonstrating the va...
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.
This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as...
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belo...
