622 Seiten
Sprache: English
Am 2014 von Chapman and Hall/CRC veröffentlicht.
Data clustering
algorithms and applications Chapman & Hall/CRC data mining and knowledge discovery series
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"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"--
Themen
- Document clustering
- Cluster analysis
- Data mining
- Machine theory
- File organization (Computer science)
- BUSINESS & ECONOMICS / Statistics
- COMPUTERS / Database Management / Data Mining
- COMPUTERS / Machine Theory