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 ...

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 ...

External validation indexes allow similarities between two clustering solutions to be quantified. With classical external indexes, it is possible to quantify how similar two disjoint clustering solutions are, where each ...

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 ...

Neste trabalho estudamos networks e métodos de Clustering Hierárquico de forma axiomática. Apresentamos alguns programas na linguagem Python aplicados à análise de dados de migração populacional, com o intuito de ilustrar ...

Considering the market conditions of high competence and decreased demand, universities must work under a market vision and build solid strategies based on data to make better decisions and improve their competitive position. ...