A fast and efficient Modal EM algorithm for Gaussian mixtures-Reference-Cited by-同舟云学术

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A fast and efficient Modal EM algorithm for Gaussian mixtures

Published:2021-06-08 Issue:4 Volume:14 Page:305-314
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Stat Anal Data Min: The ASA Data Sci Journal

Author:

Scrucca Luca¹^ORCID

Affiliation:

1. Department of Economics Università degli Studi di Perugia Perugia

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11527

Reference31 articles.

1. Cluster Analysis

2. Finite Mixture Models

3. Model-Based Clustering, Discriminant Analysis, and Density Estimation

4. Combining Mixture Components for Clustering

5. Methods for merging Gaussian mixture components

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1. Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data;WIREs Computational Statistics;2023-03-15

2. On Methods for Merging Mixture Model Components Suitable for Unsupervised Image Segmentation Tasks;Mathematics;2022-11-16

3. Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation;Expert Systems;2022-11-02

4. Modal clustering on PPGMMGA projection subspace;Australian & New Zealand Journal of Statistics;2022-04-14

5. mclustAddons: Addons for the 'mclust' Package;CRAN: Contributed Packages;2021-09-29

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