A primer on clustering, III, (Mostly) fuzzy clustering in very large data sets:

This last tutorial in the series discusses just one approach to the interesting and important problem of clustering in very large (VL) data. The target audience is graduate students majoring in engineering and science, and practicing engineers and scientists interested in either research about or ap...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Bezdek, James (VerfasserIn)
Format: Elektronisch Video
Sprache:English
Veröffentlicht: United States IEEE 2009
Schlagworte:
Online-Zugang:FHN01
TUM01
Zusammenfassung:This last tutorial in the series discusses just one approach to the interesting and important problem of clustering in very large (VL) data. The target audience is graduate students majoring in engineering and science, and practicing engineers and scientists interested in either research about or applications of clustering applied to very large real world problems that occur in data mining, image analysis and bioinformatics. Almost none of the subject matter in this course is available in textbooks; almost all of it is the object of (my own) current research, and as such, it reflects my own bias, prejudices, background and interests. I have supplied references that contain pointers to many nice papers on these topics that use related or competitive methods that have been proposed and studied by others
Beschreibung:Description based on online resource; title from title screen (IEEE Xplore Digital Library, viewed November 12, 2020)
Beschreibung:1 Online-Resource (1 Videodatei, 60 Minuten) color illustrations
ISBN:9781424414420

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