Summary
This chapter contains sections titled:
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Introduction
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Principal Component Analysis
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Single‐Factor Analysis Model
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EM Algorithm for a Single‐Factor Analyzer
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Data Visualization in Latent Space
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Mixtures of Factor Analyzers
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AECM Algorithm for Fitting Mixtures of Factor Analyzers
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Link of Factor Analysis with Probabilistic PCA
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Mixtures of Probabilistic PCAs
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Initialization of AECM Algorithm
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Example 8.1: Simulated Data
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Example 8.2: Wine Data
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