首页> 美国政府科技报告 >MCLUST Version 3: An R Package for Normal Mixture Modeling and Model- Based Clustering

【24h】

MCLUST Version 3: An R Package for Normal Mixture Modeling and Model- Based Clustering

机译：mCLUsT版本3：用于正常混合建模和基于模型的聚类的R包

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

MCLUST is a contributed R package for normal mixture modeling and model-based clustering. It provides functions for parameter estimation via the EM algorithm for normal mixture models with a variety of covariance structures, and functions for simulation from these models. Also included are functions that combine model-based hierarchical clustering, EM for mixture estimation and the Bayesian Information Criterion (BIC) in comprehensive strategies for clustering, density estimation and discriminant analysis. There is additional functionality for displaying and visualizing the models along with clustering and classification results. A number of features of the software have been changed in this version, and the functionality has been expanded to include regularization for normal mixture models via a Bayesian prior. A web page with related links including license information can be found at http://www.stat. washington.edu/mclust.

著录项

作者
Fraley, C. ; Raftery, A. E.;
展开▼
作者单位

展开▼
年度 2006
页码 1-51
总页数 51
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Computer programs; Algorithms; Clustering; Simulation; Density; Strategy; Covariance; Discriminant analysis; Bayes theorem; Classification; Models; Parameters; Mixtures; Estimates;

机译：计算机程序;算法;聚类;模拟;密度;策略;协方差;判别分析;贝叶斯定理;分类;模型;参数;混合;估计;

相似文献

外文文献
中文文献
专利

1. mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models [J] . Luca Scrucca, Michael Fop, T. Brendan Murphy, R News . 2016,第1期

机译：mclust 5：使用高斯有限混合模型的聚类，分类和密度估计
2. mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models [J] . Luca Scrucca, Michael Fop, T. Brendan Murphy, The R Journal . 2016,第1期

机译：mclust 5：使用高斯有限混合模型的聚类，分类和密度估计
3. Enhanced Model-Based Clustering, Density Estimation, sand Discriminant Analysis Software: MCLUST [J] . Chris Fraley, Adrian E. Raftery Journal of classification . 2003,第2期

机译：增强的基于模型的聚类，密度估计，沙判别分析软件：MCLUST
4. A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model [C] . Wei Wang, Chunheng Wang, Xia Cui, International Conference on Pattern Recognition . 2008

机译：聚类算法将FCM算法与监督常规混合模型相结合
5. Latent Multi-State Models for Non-Equidistant Longitudinal Observations with Finite and Infinite Mixture Model-Based Clustering [D] . Luo, Yu. 2019

机译：具有有限和无限混合模型的聚类非等距纵向观测的潜在多状态模型
6. mclust 5: Clustering Classification and Density Estimation Using Gaussian Finite Mixture Models [O] . Luca Scrucca, Michael Fop, T. Brendan Murphy, -1

机译：mclust 5：使用高斯有限混合模型的聚类分类和密度估计
7. mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models [O] . Scrucca Luca, Fop Michael, Murphy Thomas Brendan, 2016

机译：mclust 5：使用高斯有限混合模型的聚类，分类和密度估计

MCLUST Version 3: An R Package for Normal Mixture Modeling and Model- Based Clustering

摘要

著录项

相似文献

相关主题

期刊订阅