Buscar
Mostrando ítems 1-10 de 613
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 ...
Random partition models with regression on covariates
(ELSEVIER SCIENCE BV, 2010)
Many recent applications of nonparametric Bayesian inference use random partition models, i.e. probability models for clustering a set of experimental units. We review the popular basic constructions. We then focus on an ...
Generalized external indexes for comparing data partitions with overlapping categories
(ELSEVIER SCIENCE BV, 2010)
There is a family of well-known external clustering validity indexes to measure the degree of compatibility or similarity between two hard partitions of a given data set, including partitions with different numbers of ...
Similarity analysis in Bayesian random partition models
(ELSEVIER, 2011)
This work proposes a method to assess the influence of individual observations in the clustering generated by any process that involves random partitions. We call it Similarity Analysis. It basically consists of decomposing ...
A predictive view of Bayesian clustering
(ELSEVIER, 2006)
This work considers probability models for partitions of a set of n elements using a predictive approach, i.e., models that are specified in terms of the conditional probability of either joining an already existing cluster ...
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 ...
Graph partitioning-based clustering for the planning of distribution network topology using spatial- temporal load forecasting
(2021-09-15)
Planning the expansion and the new topology of distribution networks requires knowing the location and characterization of the load as well as its future growth. Spatial load forecasting is a key tool in this task, providing ...
An Automatic Merge Technique to Improve the Clustering Quality Performed by LAMDA
(Institute of Electrical and Electronics Engineers Inc., 2020-01-01)
Clustering is a research challenge focused on discovering knowledge from data samples whose goal is to build good quality partitions. In this paper is proposed an approach based on LAMDA (Learning Algorithm for Multivariable ...