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Elements of dimensionality reduction and manifold learning / / Benyamin Ghojogh [and three others]
| Elements of dimensionality reduction and manifold learning / / Benyamin Ghojogh [and three others] |
| Autore | Ghojogh Benyamin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (617 pages) |
| Disciplina | 519.536 |
| Soggetto topico |
Dimension reduction (Statistics)
Machine learning |
| ISBN | 3-031-10602-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction -- Part 1: Preliminaries and Background -- Chapter 2: Background on Linear Algebra -- Chapter 3: Background on Kernels -- Chapter 4: Background on Optimization -- Part 2: Spectral dimensionality Reduction -- Chapter 5: Principal Component Analysis -- Chapter 6: Fisher Discriminant Analysis -- Chapter 7: Multidimensional Scaling, Sammon Mapping, and Isomap -- Chapter 8: Locally Linear Embedding -- Chapter 9: Laplacian-based Dimensionality Reduction -- Chapter 10: Unified Spectral Framework and Maximum Variance Unfolding -- Chapter 11: Spectral Metric Learning -- Part 3: Probabilistic Dimensionality Reduction -- Chapter 12: Factor Analysis and Probabilistic Principal Component Analysis -- Chapter 13: Probabilistic Metric Learning -- Chapter 14: Random Projection -- Chapter 15: Sufficient Dimension Reduction and Kernel Dimension Reduction -- Chapter 16: Stochastic Neighbour Embedding -- Chapter 17: Uniform Manifold Approximation and Projection (UMAP) -- Part 4: Neural Network-based Dimensionality Reduction -- Chapter 18: Restricted Boltzmann Machine and Deep Belief Network -- Chapter 19: Deep Metric Learning -- Chapter 20: Variational Autoencoders -- Chapter 21: Adversarial Autoencoders. |
| Record Nr. | UNINA-9910647787703321 |
Ghojogh Benyamin
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| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Elements of dimensionality reduction and manifold learning / / Benyamin Ghojogh [and three others]
| Elements of dimensionality reduction and manifold learning / / Benyamin Ghojogh [and three others] |
| Autore | Ghojogh Benyamin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (617 pages) |
| Disciplina | 519.536 |
| Soggetto topico |
Dimension reduction (Statistics)
Machine learning |
| ISBN | 3-031-10602-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction -- Part 1: Preliminaries and Background -- Chapter 2: Background on Linear Algebra -- Chapter 3: Background on Kernels -- Chapter 4: Background on Optimization -- Part 2: Spectral dimensionality Reduction -- Chapter 5: Principal Component Analysis -- Chapter 6: Fisher Discriminant Analysis -- Chapter 7: Multidimensional Scaling, Sammon Mapping, and Isomap -- Chapter 8: Locally Linear Embedding -- Chapter 9: Laplacian-based Dimensionality Reduction -- Chapter 10: Unified Spectral Framework and Maximum Variance Unfolding -- Chapter 11: Spectral Metric Learning -- Part 3: Probabilistic Dimensionality Reduction -- Chapter 12: Factor Analysis and Probabilistic Principal Component Analysis -- Chapter 13: Probabilistic Metric Learning -- Chapter 14: Random Projection -- Chapter 15: Sufficient Dimension Reduction and Kernel Dimension Reduction -- Chapter 16: Stochastic Neighbour Embedding -- Chapter 17: Uniform Manifold Approximation and Projection (UMAP) -- Part 4: Neural Network-based Dimensionality Reduction -- Chapter 18: Restricted Boltzmann Machine and Deep Belief Network -- Chapter 19: Deep Metric Learning -- Chapter 20: Variational Autoencoders -- Chapter 21: Adversarial Autoencoders. |
| Record Nr. | UNISA-996546839703316 |
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Ghojogh Benyamin
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| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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An introduction to envelopes : dimension reduction for efficient estimation in multivariate statistics / / R. Dennis Cook
| An introduction to envelopes : dimension reduction for efficient estimation in multivariate statistics / / R. Dennis Cook |
| Autore | Cook R. Dennis |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2018 |
| Descrizione fisica | 1 online resource (316 pages) |
| Disciplina | 519.5/35 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Multivariate analysis
Dimension reduction (Statistics) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-42297-3
1-119-42295-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Response envelopes -- Illustrative analyses using response envelopes -- Partial response envelopes -- Predictor envelopes -- Enveloping multivariate means -- Envelope agorithms -- Envelope exensions -- Inner and scaled envelopes -- Connections and adaptations. |
| Record Nr. | UNINA-9910466744403321 |
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Cook R. Dennis
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| Hoboken, NJ : , : Wiley, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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An introduction to envelopes : dimension reduction for efficient estimation in multivariate statistics / / R. Dennis Cook
| An introduction to envelopes : dimension reduction for efficient estimation in multivariate statistics / / R. Dennis Cook |
| Autore | Cook R. Dennis |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2018 |
| Descrizione fisica | 1 online resource (316 pages) |
| Disciplina | 519.5/35 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Multivariate analysis
Dimension reduction (Statistics) |
| ISBN |
1-119-42296-5
1-119-42297-3 1-119-42295-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Response envelopes -- Illustrative analyses using response envelopes -- Partial response envelopes -- Predictor envelopes -- Enveloping multivariate means -- Envelope agorithms -- Envelope exensions -- Inner and scaled envelopes -- Connections and adaptations. |
| Record Nr. | UNINA-9910530689703321 |
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Cook R. Dennis
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||
| Hoboken, NJ : , : Wiley, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An introduction to envelopes : dimension reduction for efficient estimation in multivariate statistics / / R. Dennis Cook
| An introduction to envelopes : dimension reduction for efficient estimation in multivariate statistics / / R. Dennis Cook |
| Autore | Cook R. Dennis |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2018 |
| Descrizione fisica | 1 online resource (316 pages) |
| Disciplina | 519.5/35 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Multivariate analysis
Dimension reduction (Statistics) |
| ISBN |
1-119-42296-5
1-119-42297-3 1-119-42295-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Response envelopes -- Illustrative analyses using response envelopes -- Partial response envelopes -- Predictor envelopes -- Enveloping multivariate means -- Envelope agorithms -- Envelope exensions -- Inner and scaled envelopes -- Connections and adaptations. |
| Record Nr. | UNINA-9910819491103321 |
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Cook R. Dennis
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| Hoboken, NJ : , : Wiley, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Open problems in spectral dimensionality reduction / / Harry Strange, Reyer Zwiggelaar
| Open problems in spectral dimensionality reduction / / Harry Strange, Reyer Zwiggelaar |
| Autore | Strange Harry |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham [Switzerland] : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (ix, 92 pages) : illustrations (some color) |
| Disciplina |
005.7
006.3 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Dimension reduction (Statistics)
Computer science - Mathematics |
| ISBN | 3-319-03943-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Spectral Dimensionality Reduction -- Modelling the Manifold -- Intrinsic Dimensionality -- Incorporating New Points -- Large Scale Data -- Postcript. |
| Record Nr. | UNINA-9910299049703321 |
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Strange Harry
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| Cham [Switzerland] : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Robust methods for data reduction / / Alessio Farcomeni, Luca Greco
| Robust methods for data reduction / / Alessio Farcomeni, Luca Greco |
| Autore | Farcomeni Alessio |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2015] |
| Descrizione fisica | 1 online resource (297 p.) |
| Disciplina | 519.5/0285 |
| Collana | Chapman & Hall Book |
| Soggetto topico |
Robust control
Data reduction - Computer programs Dimension reduction (Statistics) |
| ISBN | 0-429-16796-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Dedication; Contents; Preface; Authors; List of Figures; List of Tables; List of Examples and R illustrations; Symbol Description; 1. Introduction and Overview; 2. Multivariate Estimation Methods; Section I: Dimension Reduction; Introduction to Dimension Reduction; 3. Principal Component Analysis; 4. Sparse Robust PCA; 5. Canonical Correlation Analysis; 6. Factor Analysis; Section II: Sample Reduction; Introduction to Sample Reduction; 7. k-means and Model-Based Clustering; 8. Robust Clustering; 9. Robust Model-Based Clustering; 10. Double Clustering; 11. Discriminant Analysis
A. Use of the Software R for Data ReductionBibliography |
| Record Nr. | UNINA-9910788117103321 |
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Farcomeni Alessio
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| Boca Raton : , : CRC Press, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robust methods for data reduction / / Alessio Farcomeni, Luca Greco
| Robust methods for data reduction / / Alessio Farcomeni, Luca Greco |
| Autore | Farcomeni Alessio |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2015] |
| Descrizione fisica | 1 online resource (297 p.) |
| Disciplina | 519.5/0285 |
| Collana | Chapman & Hall Book |
| Soggetto topico |
Robust control
Data reduction - Computer programs Dimension reduction (Statistics) |
| ISBN | 0-429-16796-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Dedication; Contents; Preface; Authors; List of Figures; List of Tables; List of Examples and R illustrations; Symbol Description; 1. Introduction and Overview; 2. Multivariate Estimation Methods; Section I: Dimension Reduction; Introduction to Dimension Reduction; 3. Principal Component Analysis; 4. Sparse Robust PCA; 5. Canonical Correlation Analysis; 6. Factor Analysis; Section II: Sample Reduction; Introduction to Sample Reduction; 7. k-means and Model-Based Clustering; 8. Robust Clustering; 9. Robust Model-Based Clustering; 10. Double Clustering; 11. Discriminant Analysis
A. Use of the Software R for Data ReductionBibliography |
| Record Nr. | UNINA-9910826786003321 |
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Farcomeni Alessio
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| Boca Raton : , : CRC Press, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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