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The old open clusters Saurer A, B and C revisited
(Wiley Blackwell Publishing, Inc, 2003-11)
We report deep (V ≈ 24.0) VI CCD photometry of three fields centred in the regions of the old open clusters Saurer A, B and C. In the case of Saurer A, which is considered one of the oldest known open clusters, we also ...
Cluster industrial: as tipologias, estratégias e governança na cadeia produtiva de calçados de Franca
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Engenharia de Produção - PPGEP, 2013-12-16)
The analysis of an industrial cluster has become the main discussion to explain the firm agglomerations success worldwide in the last decade. This discussion has given a bigger dimension in economic terms, especially about ...
Agrupamento de sequências de miRNA utilizando aprendizado não-supervisionado baseado em grafos
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2016-08-12)
Cluster analysis is the organization of a collection of patterns into clusters based on similarity
which is determined by using properties of data. Clustering techniques can be useful in a
variety of knowledge domains ...
VDBSCAN plus : Performance Optimization Based on GPU Parallelism
(Ieee, 2013-01-01)
Spatial data mining techniques enable the knowledge extraction from spatial databases. However, the high computational cost and the complexity of algorithms are some of the main problems in this area. This work proposes a ...
On the selection of appropriate distances for gene expression data clustering
(BioMed CentralLondon, 2014-01-24)
Background:
Clustering is crucial for gene expression data analysis. As an unsupervised exploratory procedure its results can help researchers to gain insights and formulate new hypothesis about biological data from ...
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 ...
Star formation efficiency in galaxy clusters
(EDP SCIENCES S A, 2008)
Context. The luminous material in clusters of galaxies exists in two forms: the visible galaxies and the X-ray emitting intra-cluster medium. The hot intra-cluster gas is the major observed baryonic component of clusters, ...
TS-stream: clustering time series on data streams
(SpringerDordrecht, 2014-06)
The current ability to produce massive amounts of data and the impossibility in storing it motivated the development of data stream mining strategies. Despite the proposal of many techniques, this research area still lacks ...
Comparative Study of Clustering Algorithms in Text Mining Context
The spectacular increasing of Data is due to
the appearance of networks and smartphones. Amount 42% of
world population using internet [1]; have created a problem
related of the processing of the data exchanged, which ...