Application of EM algorithm on missing categorical data analysis
Expectation- Maximization algorithm, or in short, EM algorithm is one of the methodologies for solving incomplete data problems sequentially based on a complete framework. The EM algorithm is a parametric approach to find the Maximum Likelihood, ML parameter estimates for incomplete data. The algori...
Main Author: | Hasan, Noraini |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://eprints.utm.my/12403/6/NorainiHasanMFS2009.pdf |
Similar Items
-
Application of EM algorithm on missing categorical data analysis /
by: Noraini Hasan, 1986-, et al.
Published: (2009) -
Application of EM algorithm on missing categorical data analysis [electronic resource] /
by: Noraini Hasan, 1986-, et al.
Published: (2009) -
Determination of the Best Single Imputation Algorithm for Missing Rainfall Data Treatment
by: Saeed, Gamil Abdulraqeb Abdullah, et al.
Published: (2016) -
Tree-based contrast subspace mining for categorical data
by: Florence Sia Fui Sze, et al.
Published: (2020) -
MST 567 - Categorical Data Analysis - Oktober 2004
by: PPSM, Pusat Pengajian Sains Matematik
Published: (2004)