Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5536
Title: A review of cluster validation with an example of type-2 fuzzy application in R
Authors: Özkan, İ.
Türkşen, I. Burhan
Keywords: Biological type
Cluster validity
Compactness
Connectedness
Dissimilarity
Euclidian
External criteria
Fukuyama-Sugeno
Fuzzy c-mean
Internal criteria
Interval valued type-2 fuzzy
Iris data
Manhattan
Membership
MiniMax ?-stable
Partition coefficient
Partition entropy
R code
Relative criteria
Separation
Stability type
Type 2 fuzzy
Upper and lower values of fuzziness
Wine data
Xie-Beni
Issue Date: 2013
Publisher: Springer Verlag
Abstract: Interval valued type-2 fuzziness can be represented by means of membership functions obtained with upper and lower values of the level of fuzziness. These upper and lower values for the level of fuzziness in FCM algorithm were obtained in our previous studies. A particular application of Interval valued type-2 fuzziness is shown for cluster validity analysis in this chapter. For this purpose, we introduce a brief taxonomy for cluster validity indices to clarify the contribution of our novel approach. To provide reproducibility of our technique, the source code is written in freely available language 'R' and can be found on our web site. © 2013 Springer Science+Business Media New York.
URI: https://doi.org/10.1007/978-1-4614-6666-6_14
https://hdl.handle.net/20.500.11851/5536
ISBN: 9781461466659
ISSN: 1434-9922
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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