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Grouping Multidimensional Data: Recent Advances in Clustering Jacob Kogan Softcover reprint of hardcover 1st ed. 2006 edition
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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
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 12. februar 2010 |
| ISBN13 | 9783642066542 |
| Utgivere | Springer-Verlag Berlin and Heidelberg Gm |
| Antall sider | 268 |
| Mål | 155 × 235 × 15 mm · 399 g |
| Språk | Tysk |
| Redaktør | Kogan, Jacob |
| Redaktør | Nicholas, Charles |
| Redaktør | Teboulle, Marc |
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