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Quality indices for (practical) clustering evaluation
(IOS PRESS, 2009)
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 ...
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 ...
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 ...
Modelo de evaluación de la calidad para instituciones financieras obtenidas por medio de un análisis de correspondencia y de clúster.
(2012-06-05)
This paper presents a study about Correspondence Analysis and Clusters, in order to
obtain a model that can evaluate quality service to be implemented in financial institutions
in of Guayaquil city. This study reveals ...
Effects on Clustering Quality of Direct and Indirect Communication Among Agent in Ant-based Clustering Algorithms
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2015)
Análise comparativa de técnicas avançadas de agrupamento
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC-SoCâmpus Sorocaba, 2016-01-29)
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 ...
Topic Models and Fusion Methods: a Union to Improve Text Clustering and Cluster Labeling
Topic modeling algorithms are statistical methods that aim to discover the topics running through the text documents. Using topic models in machine learning and text mining is popular due to its applicability in inferring ...
Análise de fronteiras geográficas e limites no processo temporal para avaliação de conglomerados espaço-temporais
(Universidade Federal de Minas GeraisUFMG, 2016-02-29)
Research into space-time clusters has become a subject of broad interest in scientific research. The speed of propagation of several phenomena has encouraged this interest. Particularly, associated studies with formation ...