This book aims to bind together latest theories on creation of innovative clusters and operating modalities, empirical analysis, and several new formal models describing cluster formation and dynamics. Another objective ...

This book aims to bind together latest theories on creation of innovative clusters and operating modalities, empirical analysis, and several new formal models describing cluster formation and dynamics. Another objective ...

Similarity measures for comparing clusterings is an important component, e.g., of evaluating clustering algorithms, for consensus clustering, and for clustering stability assessment. These measures have been studied for ...

This book aims to bind together latest theories on creation of innovative clusters and operating modalities, empirical analysis, and several new formal models describing cluster formation and dynamics. Another objective ...

This book aims to bind together latest theories on creation of innovative clusters and operating modalities, empirical analysis, and several new formal models describing cluster formation and dynamics. Another objective ...

Clustering quality or validation indices allow the evaluation of the quality of clustering in order to support the selection of a specific partition or clustering structure in its natural unsupervised environment, where ...

The goal of this study is to investigate the characteristics of the new data clustering approaches, carrying out a comparative study of clustering techniques that combine or select multiple solutions, analyzing these latest ...

Current Genome-wide advancements in Gene chips technology provide in the “Omics (genomics, proteomics and transcriptomics) research”, an opportunity to analyze the expression levels of thousand of genes across multiple ...