Validation Measures in Clustering
Abstract
Clustering validation techniques are important for comparing the results of different algorithms and they are frequently necessary for discussions with domain experts. They also present opportunities for research innovations in and of themselves. Examples of these techniques and their use are presented.
Recommended Citation
D. C. Wunsch, "Validation Measures in Clustering,", Jan 2015.
Meeting Name
International Conference on Intelligent Computing (2015: Aug. 20-23, Fizhou, China)
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Publication Date
01 Jan 2015
Comments
Opening Keynote Presentation (Aug. 21, 2015)