Mixture Models for Clustering and Dimension Reduction

Thesis (complete)

Front cover

Title pages

CONTENTS

ACKNOWLEDGEMENTS

1 INTRODUCTION

2 A REVIEW OF CLUSTERING AND DIMENSION REDUCTION TECHNIQUES

3 MIXTURE DENSITY ESTIMATION

4 SELF-ORGANIZING MIXTURE MODELS

5 COMBINING LOCAL LINEAR MODELS TO FORM GLOBAL NON-LINEAR MODELS

6 CONCLUSION AND DISCUSSION

BIBLIOGRAPHY

SUMMARY

CURRICULUM VITAE

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