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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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2005. gada 16. decembris |
| ISBN13 | 9783540283485 |
| Izdevēji | Springer-Verlag Berlin and Heidelberg Gm |
| Lapas | 268 |
| Izmēri | 155 × 235 × 20 mm · 539 g |
| Valoda | Vācu |
| Redaktors | Kogan, Jacob |
| Redaktors | Nicholas, Charles |
| Redaktors | Teboulle, Marc |