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On the Choice of Starting Values for the EM Algorithm in Fitting Mixture Models

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00423145openalex-snapshot
An attempt to define the nature of chemical diabetes using a multidimensional analysis
inferredcites →https://doi.org/10.1007/bf02045797openalex-snapshot
Numerical classification applied to certain Jamaican eocene nummulitids
inferredcites →https://doi.org/10.1016/0169-7439(87)80076-xopenalex-snapshot
MACSPIN graphical data analysis software
inferredcites →https://doi.org/10.1051/978-2-7598-3719-9.c026openalex-snapshot
10.2 Maximum Likelihood from Incomplete Data
inferredcites →https://doi.org/10.1080/01621459.1979.10481652openalex-snapshot
Some Methods for Studying the Mixture of Two Normal (Lognormal) Distributions
inferredcites →https://doi.org/10.1080/01621459.1987.10478427openalex-snapshot
Exploratory Projection Pursuit
inferredcites →https://doi.org/10.1080/01621459.1987.10478447openalex-snapshot
Experiences with Three-Dimensional Scatterplots
inferredcites →https://doi.org/10.1109/t-c.1974.224051openalex-snapshot
A Projection Pursuit Algorithm for Exploratory Data Analysis
inferredcites →https://doi.org/10.1214/ss/1177013104openalex-snapshot
Dynamic Graphics for Data Analysis
inferredcites →https://doi.org/10.2307/1270093openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.2307/2289504openalex-snapshot
Statistical Analysis of Finite Mixture Distributions.
inferredcites →https://doi.org/10.2307/2347790openalex-snapshot
On Bootstrapping the Likelihood Ratio Test Stastistic for the Number of Components in a Normal Mixture
inferredcites →https://doi.org/10.2307/2347949openalex-snapshot
On Using Principal Components Before Separating a Mixture of Two Multivariate Normal Distributions
inferredcites →https://doi.org/10.2307/2527894openalex-snapshot
On the Use of Discriminant Functions in Taxonomy
inferredcites →https://doi.org/10.2307/2531816openalex-snapshot
A Method for Cluster Analysis Based on Projections and Quantile-Quantile Plots
inferredcites →https://doi.org/10.2307/2531869openalex-snapshot
Fitting Mixture Models to Grouped and Truncated Data via the EM Algorithm

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Estimating Treatment-Covariate Interactions and Main Effects in Generalized Additive Partial Linear Models with Noncompliance Using Rubin Causal Model
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Practical and theoretical aspects of mixture‐of‐experts modeling: An overview
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Treating Unobserved Heterogeneity in PLS-SEM: A Multi-method Approach
inferred← citeshttps://doi.org/10.1007/s11634-015-0220-zopenalex-snapshot
Improved initialisation of model-based clustering using Gaussian hierarchical partitions
inferred← citeshttps://doi.org/10.1007/s11634-019-00361-yopenalex-snapshot
Finite mixture-of-gamma distributions: estimation, inference, and model-based clustering
inferred← citeshttps://doi.org/10.1016/j.annals.2015.10.006openalex-snapshot
Guidelines for treating unobserved heterogeneity in tourism research: A comment on Marques and Reis (2015)
inferred← citeshttps://doi.org/10.1016/j.compchemeng.2013.09.012openalex-snapshot
Bayesian and Expectation Maximization methods for multivariate change point detection
inferred← citeshttps://doi.org/10.1016/j.csda.2014.07.005openalex-snapshot
On the estimation of mixtures of Poisson regression models with large number of components
inferred← citeshttps://doi.org/10.1016/j.ecosta.2021.07.002openalex-snapshot
A mixture model for ordinal variables measured on semantic differential scales
inferred← citeshttps://doi.org/10.1016/j.jprocont.2018.12.010openalex-snapshot
A review of the Expectation Maximization algorithm in data-driven process identification
inferred← citeshttps://doi.org/10.1016/s0167-9473(02)00177-9openalex-snapshot
Choosing initial values for the EM algorithm for finite mixtures
inferred← citeshttps://doi.org/10.1023/b:dami.0000031630.50685.7copenalex-snapshot
Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm
inferred← citeshttps://doi.org/10.1080/00949650903420558openalex-snapshot
The heuristic approach in finding initial values for minimum density power divergence estimators
inferred← citeshttps://doi.org/10.1080/03610918.2026.2648865openalex-snapshot
Estimating the complier average causal effect in generalized additive partial linear models using likelihood analysis
inferred← citeshttps://doi.org/10.1109/imcsit.2009.5352758openalex-snapshot
EM algorithm and varible Neighborhood Search for fitting Finite Mixture Model parameters
inferred← citeshttps://doi.org/10.1111/biom.13592openalex-snapshot
Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo
inferred← citeshttps://doi.org/10.1177/096228029200100103openalex-snapshot
Cluster analysis and related techniques in medical research
inferred← citeshttps://doi.org/10.1214/08-aoas179openalex-snapshot
An application of principal stratification to control for institutionalization at follow-up in studies of substance abuse treatment programs
inferred← citeshttps://doi.org/10.14288/1.0090805openalex-snapshot
Estimating mixtures of exponential distributions using maximum likelihood and the EM algorithm to improve simulation of telecommunications networks
inferred← citeshttps://doi.org/10.26686/wgtn.21300270openalex-snapshot
Finite Mixture Models - A Divide and Conquer Approach
inferred← citeshttps://doi.org/10.3102/1076998612458322openalex-snapshot
Student Mobility, Dosage, and Principal Stratification in School-Based RCTs
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