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Grouping Multidimensional Data: Recent Advances in Clustering Jacob Kogan 2006 edition
Grouping Multidimensional Data: Recent Advances in Clustering
Jacob Kogan
Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. Kogan and his co-editors have put together recent advances in clustering large and high-dimension data.
268 pages, 36 black & white tables, biography
| Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
| Lançado | 16 de dezembro de 2005 |
| ISBN13 | 9783540283485 |
| Editoras | Springer-Verlag Berlin and Heidelberg Gm |
| Páginas | 268 |
| Dimensões | 155 × 235 × 20 mm · 539 g |
| Idioma | Alemão |
| Editor | Kogan, Jacob |
| Editor | Nicholas, Charles |
| Editor | Teboulle, Marc |