Results 31 to 40 of about 797,470 (304)
Model-Based Hierarchical Clustering
CoRR, 2013 Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000)
Shivakumar Vaithyanathan, Byron Dom
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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
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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
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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
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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
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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
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Diffusion model based spectral clustering for protein-protein interaction networks. [PDF]
PLoS ONE, 2010 BACKGROUND: A goal of systems biology is to analyze large-scale molecular networks including gene expressions and protein-protein interactions, revealing the relationships between network structures and their biological functions.
Kentaro Inoue +2 more
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SMART: Unique splitting-while-merging framework for gene clustering [PDF]
, 2014 Copyright @ 2014 Fa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are ...
Fa, R +8 more
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A moment-distance hybrid method for estimating a mixture of two symmetric densities
Modern Stochastics: Theory and Applications, 2018 In clustering of high-dimensional data a variable selection is commonly applied to obtain an accurate grouping of the samples. For two-class problems this selection may be carried out by fitting a mixture distribution to each variable.
David Källberg +2 more
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Random group recommendation model based on fuzzy clustering
Journal of Electronic Science and Technology, 2020 The group recommendation system is a viral requirement for the Internet service provider to provide recommendation services for all the users in a group.
Zhe Ding +3 more
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