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 ...

In this work we present preliminary analysis of the astronomical photometry program for stellar clusters observed at OAUNI on the last years. Up to date twelve open clusters and nine globular clusters have been observed, ...

No clustering algorithm is guaranteed to find actual groups in any dataset. To deal with this problem, many techniques apply various clustering algorithms to a dataset, generating a set of partitions and assessing them to ...

The presence of outliers, noise, corrupt pieces of data and great quantity of samples in a multispectral image, makes the segmentation analysis work tedious. The fuzzy clustering approach, specially, is susceptible to ...

How can we retrieve meaningful information from a large and sparse graph?. Traditional approaches focus on generic clustering techniques and discovering dense cumulus in a network graph, however, they tend to omit interesting ...