Results 31 to 40 of about 1,500,611 (328)
An Integrated Approach for Making Inference on the Number of Clusters in a Mixture Model
Entropy, 2019 This paper presents an integrated approach for the estimation of the parameters of a mixture model in the context of data clustering. The method is designed to estimate the unknown number of clusters from observed data.
Erlandson Ferreira Saraiva +3 more
doaj +1 more source
Latent class analysis variable selection [PDF]
, 2009 We propose a method for selecting variables in latent class analysis, which is the most common model-based clustering method for discrete data. The method assesses a variable's usefulness for clustering by comparing two models, given the clustering ...
A.E. Raftery +19 more
core +4 more sources
An Approach for Determining the Number of Clusters in a Model-Based Cluster Analysis
Entropy, 2017 To determine the number of clusters in the clustering analysis that has a broad range of applied sciences, such as physics, chemistry, biology, engineering, economics etc., many methods have been proposed in the literature.
Serkan Akogul, Murat Erisoglu
doaj +1 more source
Journal of Statistical Software, 2015 Mixmod is a well-established software package for fitting mixture models of multivariate Gaussian or multinomial probability distribution functions to a given dataset with either a clustering, a density estimation or a discriminant analysis purpose.
Rémi Lebret +5 more
doaj +1 more source
Operon Prediction Model Based on Markov Clustering Algorithm [PDF]
International Journal Bioautomation, 2019 There are many operon prediction models, but few methods can be applied to the operon prediction of new sequencing species effectively. In this paper, an operon prediction model based on Markov clustering algorithm is proposed.
Zhenmei Zhang, Yongquan Liang
doaj +1 more source
Genetic diversity and population structure of a Creole sheep flock from Uruguay
Czech Journal of Animal ScienceSince 2020, the National Agricultural Research Institute (INIA) has conserved a Creole sheep flock at INIA Las Brujas. This study genetically characterised this population and compared it with six others: San Miguel National Park Creoles, commercial ...
Beatriz Carracelas +4 more
doaj +1 more source
flexCWM: A Flexible Framework for Cluster-Weighted Models
Journal of Statistical Software, 2018 Cluster-weighted models (CWMs) are mixtures of regression models with random covariates. However, besides having recently become rather popular in statistics and data mining, there is still a lack of support for CWMs within the most popular statistical ...
Angelo Mazza +2 more
doaj +1 more source
Kernel Spectral Clustering and applications
, 2015 In this chapter we review the main literature related to kernel spectral clustering (KSC), an approach to clustering cast within a kernel-based optimization setting.
A. Ben-Israel +45 more
core +1 more source
Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas [PDF]
, 2013 <br>This paper presents a finite mixture of multivariate betas as a new model-based clustering method tailored to applications where the feature space is constrained to the unit hypercube.
Dean, Nema, Nugent, Rebecca
core +1 more source
Clustering based on Random Graph Model embedding Vertex Features [PDF]
, 2009 Large datasets with interactions between objects are common to numerous scientific fields (i.e. social science, internet, biology...). The interactions naturally define a graph and a common way to explore or summarize such dataset is graph clustering ...
Ambroise, Christophe +2 more
core +3 more sources