Elementary Cluster Analysis: Four Basic Methods That (Usually) Work

ISBN-13: 9788770224253 / Angielski / Twarda / 2022 / 550 str.

James C. Bezdek

Opis

This book is aimed squarely at teaching toddlers not to be afraid of the water. There is no section of this book that, if explored in real depth, cannot be expanded into its own volume.

Spis treści

• Preface
• 1. Clusters: The Human Point of View (HPOV)
• 2. Uncertainty: Fuzzy sets and models
• 3. Clusters: the Computer Point of View (CPOV)
• 4. The Three Canonical Problems
• 5. Feature Analysis
• 6. The c-means (aka k-means) Models
• 7. Probabilistic Clustering - GMD/EM
• 8. Relational Clustering - The SAHN Models
• 9. Properties of the Fantastic Four: External Cluster Validity
• 10. Alternating Optimization
• 11. Clustering in Big Static Data
• 12. Structural Assessment in Streaming Data
• Lists of Acronyms, Abbreviations, Algorithms, Definitions, Examples, Figures, Tables, Theorems, Video Links
• Subject Index

O autorze

James C. Bezdek