Mohlo by se vám také líbit

Více informací o knize Grouping Multidimensional Data

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 236 bodů

Anotace knihy

Clustering is one of the most fundamental and essential data analysis techniques. 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. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview.§The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Mathematical theory of computation

• Plný název: Grouping Multidimensional Data
• Podnázev: Recent Advances in Clustering
• Autor: Jacob Kogan, Charles Nicholas, Marc Teboulle
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 268
• EAN: 9783642066542
• ISBN: 3642066542
• ID: 01651880
• Nakladatelství: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Hmotnost: 439 g
• Rozměry: 235 × 155 × 16 mm
• Datum vydání: 12. February 2010

Oblíbené z jiného soudku

---

---

---