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Biblioteca

MARC Lista (tabellare)
Cluster and classification techniques for the biosciences / Alan H. Fielding
Cluster and classification techniques for the biosciences / Alan H. Fielding
Autore FIELDING, Alan
Pubbl/distr/stampa Cambridge : Cambridge University Press, 2007
Descrizione fisica 246 p. ; 25 cm
Disciplina 519.53(Statistica descrittiva, analisi multivariata)
Soggetto topico Biologia - Classificazione
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990005547800203316
FIELDING, Alan  
Cambridge : Cambridge University Press, 2007
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Clustering / Rui Xu, Donald C. Wunsch, II
Clustering / Rui Xu, Donald C. Wunsch, II
Autore Xu, Rui
Pubbl/distr/stampa Piscataway, NJ : IEEE Press
Descrizione fisica X, 358 p. ; 24 cm
Disciplina 519.53
Altri autori (Persone) Wunsch, II, Donald C.
Collana IEEE Press series on computational intelligence
Soggetto non controllato Analisi dei cluster
ISBN 978-0-470-27680-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990009200220403321
Xu, Rui  
Piscataway, NJ : IEEE Press
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clustering / / Rui Xu, Donald C. Wunsch II
Clustering / / Rui Xu, Donald C. Wunsch II
Autore Xu Rui
Pubbl/distr/stampa Piscataway, New Jersey : , : IEEE Press, , c2009
Descrizione fisica 1 online resource (370 p.)
Disciplina 519.53
Collana IEEE Press Series on Computational Intelligence
Soggetto topico Cluster analysis
Multivariate analysis
ISBN 1-281-93756-8
9786611937560
0-470-38277-5
0-470-38278-3
Classificazione 54.69
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PREFACE -- 1. CLUSTER ANALYSIS -- 1.1. Classifi cation and Clustering -- 1.2. Defi nition of Clusters -- 1.3. Clustering Applications -- 1.4. Literature of Clustering Algorithms -- 1.5. Outline of the Book -- 2. PROXIMITY MEASURES -- 2.1. Introduction -- 2.2. Feature Types and Measurement Levels -- 2.3. Defi nition of Proximity Measures -- 2.4. Proximity Measures for Continuous Variables -- 2.5. Proximity Measures for Discrete Variables -- 2.6. Proximity Measures for Mixed Variables -- 2.7. Summary -- 3. HIERARCHICAL CLUSTERING. -- 3.1. Introduction -- 3.2. Agglomerative Hierarchical Clustering -- 3.3. Divisive Hierarchical Clustering -- 3.4. Recent Advances -- 3.5. Applications -- 3.6. Summary -- 4. PARTITIONAL CLUSTERING -- 4.1. Introduction -- 4.2. Clustering Criteria -- 4.3. K-Means Algorithm -- 4.4. Mixture Density-Based Clustering -- 4.5. Graph Theory-Based Clustering -- 4.6. Fuzzy Clustering -- 4.7. Search Techniques-Based Clustering Algorithms -- 4.8. Applications -- 4.9. Summary -- 5. NEURAL NETWORK-BASED CLUSTERING -- 5.1. Introduction -- 5.2. Hard Competitive Learning Clustering -- 5.3. Soft Competitive Learning Clustering -- 5.4. Applications -- 5.5. Summary -- 6. KERNEL-BASED CLUSTERING -- 6.1. Introduction -- 6.2. Kernel Principal Component Analysis -- 6.3. Squared-Error-Based Clustering with Kernel Functions -- 6.4. Support Vector Clustering -- 6.5. Applications -- 6.6. Summary -- 7. SEQUENTIAL DATA CLUSTERING -- 7.1. Introduction -- 7.2. Sequence Similarity -- 7.3. Indirect Sequence Clustering -- 7.4. Model-Based Sequence Clustering -- 7.5. Applications--Genomic and Biological Sequence -- 7.6. Summary -- 8. LARGE-SCALE DATA CLUSTERING -- 8.1. Introduction -- 8.2. Random Sampling Methods -- 8.3. Condensation-Based Methods -- 8.4. Density-Based Methods -- 8.5. Grid-Based Methods -- 8.6. Divide and Conquer -- 8.7. Incremental Clustering -- 8.8. Applications -- 8.9. Summary -- 9. DATA VISUALIZATION AND HIGH-DIMENSIONAL DATA CLUSTERING.
9.1. Introduction -- 9.2. Linear Projection Algorithms -- 9.3. Nonlinear Projection Algorithms -- 9.4. Projected and Subspace Clustering -- 9.5. Applications -- 9.6. Summary -- 10. CLUSTER VALIDITY -- 10.1. Introduction -- 10.2. External Criteria -- 10.3. Internal Criteria -- 10.4. Relative Criteria -- 10.5. Summary -- 11. CONCLUDING REMARKS -- PROBLEMS -- REFERENCES -- AUTHOR INDEX -- SUBJECT INDEX.
Record Nr. UNINA-9910144106503321
Xu Rui  
Piscataway, New Jersey : , : IEEE Press, , c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clustering / / Rui Xu, Donald C. Wunsch II
Clustering / / Rui Xu, Donald C. Wunsch II
Autore Xu Rui
Pubbl/distr/stampa Piscataway, New Jersey : , : IEEE Press, , c2009
Descrizione fisica 1 online resource (370 p.)
Disciplina 519.53
Collana IEEE Press Series on Computational Intelligence
Soggetto topico Cluster analysis
Multivariate analysis
ISBN 1-281-93756-8
9786611937560
0-470-38277-5
0-470-38278-3
Classificazione 54.69
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PREFACE -- 1. CLUSTER ANALYSIS -- 1.1. Classifi cation and Clustering -- 1.2. Defi nition of Clusters -- 1.3. Clustering Applications -- 1.4. Literature of Clustering Algorithms -- 1.5. Outline of the Book -- 2. PROXIMITY MEASURES -- 2.1. Introduction -- 2.2. Feature Types and Measurement Levels -- 2.3. Defi nition of Proximity Measures -- 2.4. Proximity Measures for Continuous Variables -- 2.5. Proximity Measures for Discrete Variables -- 2.6. Proximity Measures for Mixed Variables -- 2.7. Summary -- 3. HIERARCHICAL CLUSTERING. -- 3.1. Introduction -- 3.2. Agglomerative Hierarchical Clustering -- 3.3. Divisive Hierarchical Clustering -- 3.4. Recent Advances -- 3.5. Applications -- 3.6. Summary -- 4. PARTITIONAL CLUSTERING -- 4.1. Introduction -- 4.2. Clustering Criteria -- 4.3. K-Means Algorithm -- 4.4. Mixture Density-Based Clustering -- 4.5. Graph Theory-Based Clustering -- 4.6. Fuzzy Clustering -- 4.7. Search Techniques-Based Clustering Algorithms -- 4.8. Applications -- 4.9. Summary -- 5. NEURAL NETWORK-BASED CLUSTERING -- 5.1. Introduction -- 5.2. Hard Competitive Learning Clustering -- 5.3. Soft Competitive Learning Clustering -- 5.4. Applications -- 5.5. Summary -- 6. KERNEL-BASED CLUSTERING -- 6.1. Introduction -- 6.2. Kernel Principal Component Analysis -- 6.3. Squared-Error-Based Clustering with Kernel Functions -- 6.4. Support Vector Clustering -- 6.5. Applications -- 6.6. Summary -- 7. SEQUENTIAL DATA CLUSTERING -- 7.1. Introduction -- 7.2. Sequence Similarity -- 7.3. Indirect Sequence Clustering -- 7.4. Model-Based Sequence Clustering -- 7.5. Applications--Genomic and Biological Sequence -- 7.6. Summary -- 8. LARGE-SCALE DATA CLUSTERING -- 8.1. Introduction -- 8.2. Random Sampling Methods -- 8.3. Condensation-Based Methods -- 8.4. Density-Based Methods -- 8.5. Grid-Based Methods -- 8.6. Divide and Conquer -- 8.7. Incremental Clustering -- 8.8. Applications -- 8.9. Summary -- 9. DATA VISUALIZATION AND HIGH-DIMENSIONAL DATA CLUSTERING.
9.1. Introduction -- 9.2. Linear Projection Algorithms -- 9.3. Nonlinear Projection Algorithms -- 9.4. Projected and Subspace Clustering -- 9.5. Applications -- 9.6. Summary -- 10. CLUSTER VALIDITY -- 10.1. Introduction -- 10.2. External Criteria -- 10.3. Internal Criteria -- 10.4. Relative Criteria -- 10.5. Summary -- 11. CONCLUDING REMARKS -- PROBLEMS -- REFERENCES -- AUTHOR INDEX -- SUBJECT INDEX.
Record Nr. UNISA-996206039003316
Xu Rui  
Piscataway, New Jersey : , : IEEE Press, , c2009
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Clustering / / Rui Xu, Donald C. Wunsch II
Clustering / / Rui Xu, Donald C. Wunsch II
Autore Xu Rui
Pubbl/distr/stampa Piscataway, New Jersey : , : IEEE Press, , c2009
Descrizione fisica 1 online resource (370 p.)
Disciplina 519.53
Collana IEEE Press Series on Computational Intelligence
Soggetto topico Cluster analysis
Multivariate analysis
ISBN 1-281-93756-8
9786611937560
0-470-38277-5
0-470-38278-3
Classificazione 54.69
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PREFACE -- 1. CLUSTER ANALYSIS -- 1.1. Classifi cation and Clustering -- 1.2. Defi nition of Clusters -- 1.3. Clustering Applications -- 1.4. Literature of Clustering Algorithms -- 1.5. Outline of the Book -- 2. PROXIMITY MEASURES -- 2.1. Introduction -- 2.2. Feature Types and Measurement Levels -- 2.3. Defi nition of Proximity Measures -- 2.4. Proximity Measures for Continuous Variables -- 2.5. Proximity Measures for Discrete Variables -- 2.6. Proximity Measures for Mixed Variables -- 2.7. Summary -- 3. HIERARCHICAL CLUSTERING. -- 3.1. Introduction -- 3.2. Agglomerative Hierarchical Clustering -- 3.3. Divisive Hierarchical Clustering -- 3.4. Recent Advances -- 3.5. Applications -- 3.6. Summary -- 4. PARTITIONAL CLUSTERING -- 4.1. Introduction -- 4.2. Clustering Criteria -- 4.3. K-Means Algorithm -- 4.4. Mixture Density-Based Clustering -- 4.5. Graph Theory-Based Clustering -- 4.6. Fuzzy Clustering -- 4.7. Search Techniques-Based Clustering Algorithms -- 4.8. Applications -- 4.9. Summary -- 5. NEURAL NETWORK-BASED CLUSTERING -- 5.1. Introduction -- 5.2. Hard Competitive Learning Clustering -- 5.3. Soft Competitive Learning Clustering -- 5.4. Applications -- 5.5. Summary -- 6. KERNEL-BASED CLUSTERING -- 6.1. Introduction -- 6.2. Kernel Principal Component Analysis -- 6.3. Squared-Error-Based Clustering with Kernel Functions -- 6.4. Support Vector Clustering -- 6.5. Applications -- 6.6. Summary -- 7. SEQUENTIAL DATA CLUSTERING -- 7.1. Introduction -- 7.2. Sequence Similarity -- 7.3. Indirect Sequence Clustering -- 7.4. Model-Based Sequence Clustering -- 7.5. Applications--Genomic and Biological Sequence -- 7.6. Summary -- 8. LARGE-SCALE DATA CLUSTERING -- 8.1. Introduction -- 8.2. Random Sampling Methods -- 8.3. Condensation-Based Methods -- 8.4. Density-Based Methods -- 8.5. Grid-Based Methods -- 8.6. Divide and Conquer -- 8.7. Incremental Clustering -- 8.8. Applications -- 8.9. Summary -- 9. DATA VISUALIZATION AND HIGH-DIMENSIONAL DATA CLUSTERING.
9.1. Introduction -- 9.2. Linear Projection Algorithms -- 9.3. Nonlinear Projection Algorithms -- 9.4. Projected and Subspace Clustering -- 9.5. Applications -- 9.6. Summary -- 10. CLUSTER VALIDITY -- 10.1. Introduction -- 10.2. External Criteria -- 10.3. Internal Criteria -- 10.4. Relative Criteria -- 10.5. Summary -- 11. CONCLUDING REMARKS -- PROBLEMS -- REFERENCES -- AUTHOR INDEX -- SUBJECT INDEX.
Record Nr. UNINA-9910830820703321
Xu Rui  
Piscataway, New Jersey : , : IEEE Press, , c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clustering methodology for symbolic data / / Lynne Billard (University of Georgia), Edwin Diday (Universite de Paris IX--Dauphine)
Clustering methodology for symbolic data / / Lynne Billard (University of Georgia), Edwin Diday (Universite de Paris IX--Dauphine)
Autore Billard L (Lynne), <1943->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , [2020]
Descrizione fisica 1 online resource (351 pages)
Disciplina 519.53
Soggetto topico Cluster analysis
Multivariate analysis
ISBN 1-119-01039-X
1-119-01038-1
1-119-01040-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Symbolic data, basics -- Dissimilarity, similarity, and distance measures -- Dissimilarity, similarity, and distance measures, modal data -- General clustering techniques -- Partitioning techniques -- Divisive hierarchical clustering -- Agglomerative hierarchical clustering.
Record Nr. UNINA-9910554805903321
Billard L (Lynne), <1943->  
Hoboken, New Jersey : , : Wiley, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clustering methodology for symbolic data / / Lynne Billard (University of Georgia), Edwin Diday (Universite de Paris IX--Dauphine)
Clustering methodology for symbolic data / / Lynne Billard (University of Georgia), Edwin Diday (Universite de Paris IX--Dauphine)
Autore Billard L (Lynne), <1943->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , [2020]
Descrizione fisica 1 online resource (351 pages)
Disciplina 519.53
Soggetto topico Cluster analysis
Multivariate analysis
ISBN 1-119-01039-X
1-119-01038-1
1-119-01040-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Symbolic data, basics -- Dissimilarity, similarity, and distance measures -- Dissimilarity, similarity, and distance measures, modal data -- General clustering techniques -- Partitioning techniques -- Divisive hierarchical clustering -- Agglomerative hierarchical clustering.
Record Nr. UNINA-9910814409603321
Billard L (Lynne), <1943->  
Hoboken, New Jersey : , : Wiley, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Co-Clustering : models, algorithms and applications / / Gérard Govaert, Mohamed Nadif
Co-Clustering : models, algorithms and applications / / Gérard Govaert, Mohamed Nadif
Autore Govaert Gérard
Pubbl/distr/stampa London, England ; ; Hoboken, New Jersey : , : ISTE Ltd : , : John Wiley & Sons, , 2014
Descrizione fisica 1 online resource (162 pages)
Disciplina 519.53
Altri autori (Persone) NadifMohamed
Collana Computer engineering series
Soggetto topico Cluster analysis
ISBN 1-118-64950-8
1-118-64948-6
1-118-64949-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910208817603321
Govaert Gérard  
London, England ; ; Hoboken, New Jersey : , : ISTE Ltd : , : John Wiley & Sons, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Co-Clustering : models, algorithms and applications / / Gérard Govaert, Mohamed Nadif
Co-Clustering : models, algorithms and applications / / Gérard Govaert, Mohamed Nadif
Autore Govaert Gérard
Pubbl/distr/stampa London, England ; ; Hoboken, New Jersey : , : ISTE Ltd : , : John Wiley & Sons, , 2014
Descrizione fisica 1 online resource (162 pages)
Disciplina 519.53
Altri autori (Persone) NadifMohamed
Collana Computer engineering series
Soggetto topico Cluster analysis
ISBN 1-118-64950-8
1-118-64948-6
1-118-64949-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910815732703321
Govaert Gérard  
London, England ; ; Hoboken, New Jersey : , : ISTE Ltd : , : John Wiley & Sons, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Complementi e problemi di teoria della misurazione e invarianza delle statistiche / Francesca Cristante, Adriana Lis, Marco Sambin
Complementi e problemi di teoria della misurazione e invarianza delle statistiche / Francesca Cristante, Adriana Lis, Marco Sambin
Autore CRISTANTE, Francesca
Pubbl/distr/stampa Padova : Cleup, 1975
Descrizione fisica 115 p. : 1 tav. ; 23 cm.
Disciplina 519.53(Statistica descrittiva, analisi multivariata)
Altri autori (Persone) LIS, Adriana
SAMBIN, Marco
Soggetto topico Statistica
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISA-990005446710203316
CRISTANTE, Francesca  
Padova : Cleup, 1975
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui