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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
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 16. decembra 2005 |
| ISBN13 | 9783540283485 |
| Založniki | Springer-Verlag Berlin and Heidelberg Gm |
| Strani | 268 |
| Dimenzije | 155 × 235 × 20 mm · 539 g |
| Jezik | Nemščina |
| Urednik | Kogan, Jacob |
| Urednik | Nicholas, Charles |
| Urednik | Teboulle, Marc |