Ensemble Clustering
Mostrando 1-9 de 9 artigos, teses e dissertações.
-
1. Video segmentation based on motion coherence of particles in a video sequence
This work describes an approach for object-oriented video segmentation based on motion coherence. Using a tracking process based on adaptively sampled points (namely, particles), 2-D motion patterns are identified with an ensemble clustering approach. Particles are clustered to obtain a pixel-wise segmentation in space and time domains. The segmentation resu
Publicado em: 2011
-
2. Técnicas de combinação para agrupamento centralizado e distribuído de dados / Ensemble techniques for centralized and distributed clustering
A grande quantidade de dados gerada em diversas áreas do conhecimento cria a necessidade do desenvolvimento de técnicas de mineração de dados cada vez mais eficientes e eficazes. Técnicas de agrupamento têm sido utilizadas com sucesso em várias áreas, especialmente naquelas em que não há conhecimento prévio sobre a organização dos dados. Contudo
Publicado em: 2011
-
3. Agrupamento de dados superparamagnético.
Aplicamos um método não supervisionado de agrupamento de dados para identificar padrões em vários conjuntos dados. A técnica baseia-se em um mapeamento do problema em um sistema magnético granular heterogêneo, cujo comportamento é investigado através de métodos Monte Carlo comumente empregado no campo da física estatística. Cada objeto é descrit
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 200902
-
4. A framework for cluster analysis based in the multi-objective combination of clustering algorithms / Um framework para análise de agrupamento baseado na combinação multi-objetivo de algoritmos de agrupamento
Esta Tese apresenta um framework para análise exploratória de dados via técnicas de agrupamento. O objetivo é facilitar o trabalho dos especialistas no domínio dos dados. O ponto central do framework é um algoritmo de ensemble multi-objetivo, o algoritmo MOCLE, complementado por um método para a visualização integrada de um conjunto de partições.
Publicado em: 2006
-
5. Selecting High Quality Protein Structures from Diverse Conformational Ensembles
Protein structure prediction encompasses two major challenges: 1), the generation of a large ensemble of high resolution structures for a given amino-acid sequence; and 2), the identification of the structure closest to the native structure for a blind prediction. In this article, we address the second challenge, by proposing what is, to our knowledge, a nov
The Biophysical Society.
-
6. Small worlds in RNA structures
I consider conformational spaces of tRNAphe defined by sets of suboptimal structures from the perspective of small-world networks. Herein, the influence of modifications on typical small-world network properties and the shape of energy landscapes is discussed. Results indicate that natural modifications influence the degree of local clustering and mean path
Oxford University Press.
-
7. Clustering of low-energy conformations near the native structures of small proteins
Recent experimental studies of the denatured state and theoretical analyses of the folding landscape suggest that there are a large multiplicity of low-energy, partially folded conformations near the native state. In this report, we describe a strategy for predicting protein structure based on the working hypothesis that there are a greater number of low-ene
The National Academy of Sciences.
-
8. Characterization of residual structure in the thermally denatured state of barnase by simulation and experiment: Description of the folding pathway
Residual structure in the denatured state of a protein may contain clues about the early events in folding. We have simulated by molecular dynamics the denatured state of barnase, which has been studied by NMR spectroscopy. An ensemble of 104 structures was generated after 2 ns of unfolding and following for a further 2 ns. The ensemble was heterogeneous, bu
The National Academy of Sciences of the USA.
-
9. Monte Carlo simulation of lipid mixtures: finding phase separation.
The nonideal mixing of phosphatidylserine (PS) and phosphatidylcholine (PC) binary lipid mixtures was studied by computer simulation based on a model wherein the excess energy of mixing is divided between an electrostatic term and one adjustable term delta Em that includes all other nonideal interactions. The lateral distribution of the lipids and the energy