Exploratory Methods for Extracting Statistical Information from Complex Data
Edición de la obra Analysis of Symbolic Data
| Autor | Hans-Hermann Bock |
|---|---|
| Editorial | Springer Berlin Heidelberg, Imprint, Springer |
| Fecha de publicación | 2000 |
| Lugar | Berlin, Heidelberg |
| Idioma | inglés |
| Páginas | 425 |
| Formato | [electronic resource] : |
| ISBN-13 | 9783642571558 |
| ISBN-10 | 3642571557 |
| OCLC | 840292361 |
| Serie |
| Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814 · Studies in classification, data analysis, and knowledge organization |
| Número de Cutter | B665a |
|---|
This first systematic and self-contained monograph on "Symbolic Data Analysis" presents the most recent methods for analyzing and visualizing symbolic data. It generalizes classical methods of exploratory, statistical and graphical data analysis to the case of complex data where the entries of a data table are, e. g., sets of categories or of numbers, intervals or probability distributions. Typical methods include: graphical displays using Zoom Stars, visualization and feature extraction by symbolic factor analysis, decision trees, discrimination, classification and clustering methods. Several benchmark examples from National Statistical Offices illustrate the usefulness of the methods. The book contains an extensive bibliography and a subject index.