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Handbook of Mixture Analysis
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Ashland :
Arcler Press,
2020.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright
- DECLARATION
- ABOUT THE EDITOR
- TABLE OF CONTENTS
- List of Contributors
- List of Abbreviations
- Preface
- Chapter 1 Improved Initialization of the EM Algorithm for Mixture Model Parameter Estimation
- Abstract
- Introduction
- Related Work
- Estimation of The Gaussian Mixture Model Parameters
- Experiments
- Results And Discussion
- Conclusions
- References
- Chapter 2 A Fast Incremental Gaussian Mixture Model
- Abstract
- Introduction
- Incremental Gaussian Mixture Network
- Fast Igmn
- Experiments
- Conclusion
- References
- Chapter 3 Detection of Emerging Faults on Industrial Gas Turbines Using Extended Gaussian Mixture Models
- Introduction
- Methodology
- Application Case Studies
- Conclusion
- References
- Chapter 4 Estimating Mixture Entropy with Pairwise Distances
- Abstract
- Introduction
- Overview
- Estimating Mutual Information
- Numerical Results
- Discussion
- References
- Chapter 5 Dependent Gaussian Mixture Models for Source Separation
- Abstract
- Introduction
- Model
- Implementing The Source Separation
- Examples
- Conclusion
- References
- Chapter 6 A Two-Stage Approach Using Gaussian Mixture Models and Higher-Order Statistics for a Classification of Normal and Pathological Voices
- Abstract
- Introduction
- Material And Methods
- Results
- Conclusion And Discussion
- References
- Chapter 7 PET Image Segmentation Using a Gaussian Mixture Model and Markov Random Fields
- Abstract
- Background
- Methods
- Results
- Emgmm And Gmrf
- Discussion
- Conclusions
- Acknowledgements
- References
- Chapter 8 Kernel Analysis Based on Dirichlet Processes Mixture Models
- Abstract
- Introduction
- Background
- A Hierarchical Dirichlet Process Mixture Model
- Kernel Analysis In The Spectral Domain
- Experiments
- Conclusions
- References
- Chapter 9 A Mixture of Generalized Tukey's
- Abstract
- Introduction
- Tukey's
- The Mixture Of Two
- Estimation Of The Mixtures Of Two Tukey's
- Illustration
- Conclusions
- References
- Chapter 10 Poisson Mixture Regression Models for Heart Disease Prediction
- Abstract
- Introduction
- Methods
- Application
- Results
- Discussion
- Conclusion
- References
- Chapter 11 A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data
- Abstract
- Introduction
- Related Work
- Overview Of Gmm Tree
- Stratified Subspace Sampling Gmm-Based Method (SSS-GMM)
- Experiments
- Conclusions And Future Work
- Author Contributions
- Acknowledgments
- References
- Chapter 12 Multi-Partitions Subspace Clustering
- Abstract
- Introduction
- Probabilistic Interpretation of The Factorial Discriminant Analysis
- Multi-Partition Subspace Mixture Model
- Experiments
- Conclusions And Perspectives
- Acknowledgments