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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 |
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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