Search
Now showing items 21-30 of 34251
ASAClu: selecionando clusters diversos e relevantes
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC-SoCâmpus Sorocaba, 2016-12-12)
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 ...
Innovation in Clusters. Understanding Universities, Special Economic Zones, and Modelilng
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 ...
Comparing hard and overlapping clusterings
(MicrotomeBrookline, 2015-12)
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 ...
Bonding and properties of superatoms. Analogs to atoms and molecules and related concepts from superatomic clusters
(John Wiley and Sons Inc., 2019)
Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
(Pergamon-Elsevier B.V. Ltd, 2011-05-01)
The Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand ...
Au102+ and Au6 X42+ clusters: Superatomic molecules bearing an SP3-hybrid Au6 core
(John Wiley and Sons Inc., 2017)
Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem
(Pergamon-Elsevier B.V. Ltd, 2011-05-01)
The Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand ...
An Experimental Study on Microarray Expression Data from Plants under Salt Stress by using Clustering Methods
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 ...