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Data analysis (2009)
Titre : Data analysis Type de document : texte imprimé Auteurs : Gérard Govaert, Éditeur scientifique Editeur : London : ISTE éditions Année de publication : 2009 Autre Editeur : New York : John Wiley and Sons Collection : Digital signal and image processing series Importance : XIV, 327 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-1-84821-098-1 Note générale : Bibliogr. en fin de chapitres. - Index Langues : Anglais (eng) Mots-clés : Mathematical statistics
Data mining
Statistiques mathématiques
Exploration de données
Statistique mathématique
Analyse des donnéesIndex. décimale : 519.2 Probabilités. Statistique mathématique Résumé : The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis. Note de contenu : Summary :
1. Principal Component Analysis: Application to Statistical Process Control
2. Correspondence Analysis: Extensions and Applications to the Statistical Analysis of Sensory Data
3. Exploratory Projection Pursuit
4. The Analysis of Proximity Data
5. Statistical Modeling of Functional Data
6. Discriminant Analysis
7. Cluster Analysis
8. Clustering and the Mixture Model
9. Spatial Data ClusteringData analysis [texte imprimé] / Gérard Govaert, Éditeur scientifique . - New York : John Wiley & Sons : New York : John Wiley and Sons, 2009 . - XIV, 327 p. : ill. ; 24 cm. - (Digital signal and image processing series) .
ISBN : 978-1-84821-098-1
Bibliogr. en fin de chapitres. - Index
Langues : Anglais (eng)
Mots-clés : Mathematical statistics
Data mining
Statistiques mathématiques
Exploration de données
Statistique mathématique
Analyse des donnéesIndex. décimale : 519.2 Probabilités. Statistique mathématique Résumé : The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis. Note de contenu : Summary :
1. Principal Component Analysis: Application to Statistical Process Control
2. Correspondence Analysis: Extensions and Applications to the Statistical Analysis of Sensory Data
3. Exploratory Projection Pursuit
4. The Analysis of Proximity Data
5. Statistical Modeling of Functional Data
6. Discriminant Analysis
7. Cluster Analysis
8. Clustering and the Mixture Model
9. Spatial Data ClusteringRéservation
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Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire 052124 519.2 DAT Papier Bibliothèque Centrale Mathématiques Disponible Consultation sur place