Grouping Multidimensional Data
Produktnummer:
18cc911ae0fbb1445890c08ff2dfdfb794
Themengebiete: | Excel LA MATLAB algorithms classification clustering algorithm correlation data analysis data clustering data mining |
---|---|
Veröffentlichungsdatum: | 16.12.2005 |
EAN: | 9783540283485 |
Sprache: | Englisch |
Seitenzahl: | 268 |
Produktart: | Gebunden |
Herausgeber: | Kogan, Jacob Nicholas, Charles Teboulle, Marc |
Verlag: | Springer Berlin |
Untertitel: | Recent Advances in Clustering |
Produktinformationen "Grouping Multidimensional Data"
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.

Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen