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] | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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] | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Symbolic data analysis [[electronic resource] ] : conceptual statistics and data mining / / Lynne Billard, Edwin Diday
| Symbolic data analysis [[electronic resource] ] : conceptual statistics and data mining / / Lynne Billard, Edwin Diday |
| Autore | Billard L (Lynne), <1943-> |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons Inc., c2006 |
| Descrizione fisica | 1 online resource (331 p.) |
| Disciplina |
519.5/35
519.535 |
| Altri autori (Persone) | DidayE |
| Collana |
Wiley Series in Computational Statistics
Wiley series in computational statistics |
| Soggetto topico |
Data mining
Multivariate analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-59231-1
9786613622143 0-470-09018-9 0-470-09017-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Symbolic Data Analysis; Contents; 1 Introduction; References; 2 Symbolic Data; 2.1 Symbolic and Classical Data; 2.1.1 Types of data; 2.1.2 Dependencies in the data; 2.2 Categories, Concepts, and Symbolic Objects; 2.2.1 Preliminaries; 2.2.2 Descriptions, assertions, extents; 2.2.3 Concepts of concepts; 2.2.4 Some philosophical aspects; 2.2.5 Fuzzy, imprecise, and conjunctive data; 2.3 Comparison of Symbolic and Classical Analyses; Exercises; References; 3 Basic Descriptive Statistics: One Variate; 3.1 Some Preliminaries; 3.2 Multi-Valued Variables; 3.3 Interval-Valued Variables
3.4 Modal Multi-Valued Variables3.5 Modal Interval-Valued Variables; Exercises; References; 4 Descriptive Statistics: Two or More Variates; 4.1 Multi-Valued Variables; 4.2 Interval-Valued Variables; 4.3 Modal Multi-Valued Variables; 4.4 Modal Interval-Valued Variables; 4.5 Baseball Interval-Valued Dataset; 4.5.1 The data: actual and virtual datasets; 4.5.2 Joint histograms; 4.5.3 Guiding principles; 4.6 Measures of Dependence; 4.6.1 Moment dependence; 4.6.2 Spearman's rho and copulas; Exercises; References; 5 Principal Component Analysis; 5.1 Vertices Method; 5.2 Centers Method 5.3 Comparison of the MethodsExercises; References; 6 Regression Analysis; 6.1 Classical Multiple Regression Model; 6.2 Multi-Valued Variables; 6.2.1 Single dependent variable; 6.2.2 Multi-valued dependent variable; 6.3 Interval-Valued Variables; 6.4 Histogram-Valued Variables; 6.5 Taxonomy Variables; 6.6 Hierarchical Variables; Exercises; References; 7 Cluster Analysis; 7.1 Dissimilarity and Distance Measures; 7.1.1 Basic definitions; 7.1.2 Multi-valued variables; 7.1.3 Interval-valued variables; 7.1.4 Mixed-valued variables; 7.2 Clustering Structures; 7.2.1 Types of clusters: definitions 7.2.2 Construction of clusters: building algorithms7.3 Partitions; 7.4 Hierarchy-Divisive Clustering; 7.4.1 Some basics; 7.4.2 Multi-valued variables; 7.4.3 Interval-valued variables; 7.5 Hierarchy-Pyramid Clusters; 7.5.1 Some basics; 7.5.2 Comparison of hierarchy and pyramid structures; 7.5.3 Construction of pyramids; Exercises; References; Data Index; Author Index; Subject Index |
| Record Nr. | UNINA-9910144714603321 |
Billard L (Lynne), <1943->
|
||
| Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons Inc., c2006 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Symbolic data analysis [[electronic resource] ] : conceptual statistics and data mining / / Lynne Billard, Edwin Diday
| Symbolic data analysis [[electronic resource] ] : conceptual statistics and data mining / / Lynne Billard, Edwin Diday |
| Autore | Billard L (Lynne), <1943-> |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons Inc., c2006 |
| Descrizione fisica | 1 online resource (331 p.) |
| Disciplina |
519.5/35
519.535 |
| Altri autori (Persone) | DidayE |
| Collana |
Wiley Series in Computational Statistics
Wiley series in computational statistics |
| Soggetto topico |
Data mining
Multivariate analysis |
| ISBN |
1-280-59231-1
9786613622143 0-470-09018-9 0-470-09017-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Symbolic Data Analysis; Contents; 1 Introduction; References; 2 Symbolic Data; 2.1 Symbolic and Classical Data; 2.1.1 Types of data; 2.1.2 Dependencies in the data; 2.2 Categories, Concepts, and Symbolic Objects; 2.2.1 Preliminaries; 2.2.2 Descriptions, assertions, extents; 2.2.3 Concepts of concepts; 2.2.4 Some philosophical aspects; 2.2.5 Fuzzy, imprecise, and conjunctive data; 2.3 Comparison of Symbolic and Classical Analyses; Exercises; References; 3 Basic Descriptive Statistics: One Variate; 3.1 Some Preliminaries; 3.2 Multi-Valued Variables; 3.3 Interval-Valued Variables
3.4 Modal Multi-Valued Variables3.5 Modal Interval-Valued Variables; Exercises; References; 4 Descriptive Statistics: Two or More Variates; 4.1 Multi-Valued Variables; 4.2 Interval-Valued Variables; 4.3 Modal Multi-Valued Variables; 4.4 Modal Interval-Valued Variables; 4.5 Baseball Interval-Valued Dataset; 4.5.1 The data: actual and virtual datasets; 4.5.2 Joint histograms; 4.5.3 Guiding principles; 4.6 Measures of Dependence; 4.6.1 Moment dependence; 4.6.2 Spearman's rho and copulas; Exercises; References; 5 Principal Component Analysis; 5.1 Vertices Method; 5.2 Centers Method 5.3 Comparison of the MethodsExercises; References; 6 Regression Analysis; 6.1 Classical Multiple Regression Model; 6.2 Multi-Valued Variables; 6.2.1 Single dependent variable; 6.2.2 Multi-valued dependent variable; 6.3 Interval-Valued Variables; 6.4 Histogram-Valued Variables; 6.5 Taxonomy Variables; 6.6 Hierarchical Variables; Exercises; References; 7 Cluster Analysis; 7.1 Dissimilarity and Distance Measures; 7.1.1 Basic definitions; 7.1.2 Multi-valued variables; 7.1.3 Interval-valued variables; 7.1.4 Mixed-valued variables; 7.2 Clustering Structures; 7.2.1 Types of clusters: definitions 7.2.2 Construction of clusters: building algorithms7.3 Partitions; 7.4 Hierarchy-Divisive Clustering; 7.4.1 Some basics; 7.4.2 Multi-valued variables; 7.4.3 Interval-valued variables; 7.5 Hierarchy-Pyramid Clusters; 7.5.1 Some basics; 7.5.2 Comparison of hierarchy and pyramid structures; 7.5.3 Construction of pyramids; Exercises; References; Data Index; Author Index; Subject Index |
| Record Nr. | UNINA-9910829933903321 |
Billard L (Lynne), <1943->
|
||
| Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons Inc., c2006 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Symbolic data analysis : conceptual statistics and data mining / / Lynne Billard, Edwin Diday
| Symbolic data analysis : conceptual statistics and data mining / / Lynne Billard, Edwin Diday |
| Autore | Billard L (Lynne), <1943-> |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons Inc., c2006 |
| Descrizione fisica | 1 online resource (331 p.) |
| Disciplina |
519.5/35
519.535 |
| Altri autori (Persone) | DidayE |
| Collana | Wiley series in computational statistics |
| Soggetto topico |
Data mining
Multivariate analysis |
| ISBN |
9786613622143
9781280592317 1280592311 9780470090183 0470090189 9780470090176 0470090170 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Symbolic Data Analysis; Contents; 1 Introduction; References; 2 Symbolic Data; 2.1 Symbolic and Classical Data; 2.1.1 Types of data; 2.1.2 Dependencies in the data; 2.2 Categories, Concepts, and Symbolic Objects; 2.2.1 Preliminaries; 2.2.2 Descriptions, assertions, extents; 2.2.3 Concepts of concepts; 2.2.4 Some philosophical aspects; 2.2.5 Fuzzy, imprecise, and conjunctive data; 2.3 Comparison of Symbolic and Classical Analyses; Exercises; References; 3 Basic Descriptive Statistics: One Variate; 3.1 Some Preliminaries; 3.2 Multi-Valued Variables; 3.3 Interval-Valued Variables
3.4 Modal Multi-Valued Variables3.5 Modal Interval-Valued Variables; Exercises; References; 4 Descriptive Statistics: Two or More Variates; 4.1 Multi-Valued Variables; 4.2 Interval-Valued Variables; 4.3 Modal Multi-Valued Variables; 4.4 Modal Interval-Valued Variables; 4.5 Baseball Interval-Valued Dataset; 4.5.1 The data: actual and virtual datasets; 4.5.2 Joint histograms; 4.5.3 Guiding principles; 4.6 Measures of Dependence; 4.6.1 Moment dependence; 4.6.2 Spearman's rho and copulas; Exercises; References; 5 Principal Component Analysis; 5.1 Vertices Method; 5.2 Centers Method 5.3 Comparison of the MethodsExercises; References; 6 Regression Analysis; 6.1 Classical Multiple Regression Model; 6.2 Multi-Valued Variables; 6.2.1 Single dependent variable; 6.2.2 Multi-valued dependent variable; 6.3 Interval-Valued Variables; 6.4 Histogram-Valued Variables; 6.5 Taxonomy Variables; 6.6 Hierarchical Variables; Exercises; References; 7 Cluster Analysis; 7.1 Dissimilarity and Distance Measures; 7.1.1 Basic definitions; 7.1.2 Multi-valued variables; 7.1.3 Interval-valued variables; 7.1.4 Mixed-valued variables; 7.2 Clustering Structures; 7.2.1 Types of clusters: definitions 7.2.2 Construction of clusters: building algorithms7.3 Partitions; 7.4 Hierarchy-Divisive Clustering; 7.4.1 Some basics; 7.4.2 Multi-valued variables; 7.4.3 Interval-valued variables; 7.5 Hierarchy-Pyramid Clusters; 7.5.1 Some basics; 7.5.2 Comparison of hierarchy and pyramid structures; 7.5.3 Construction of pyramids; Exercises; References; Data Index; Author Index; Subject Index |
| Record Nr. | UNINA-9911019310003321 |
Billard L (Lynne), <1943->
|
||
| Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons Inc., c2006 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||