fcvalid: An R Package for Internal Validation of Probabilistic and Possibilistic Clustering
In exploratory data analysis and machine learning, partitioning clustering is a frequently used unsupervised learning technique for finding the meaningful patterns in numeric datasets. Clustering aims to identify and classify the objects or the cases in datasets in practice. The clustering quality o...
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| Format: | Article |
| Language: | English |
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Sakarya University
2020-04-01
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| Series: | Sakarya University Journal of Computer and Information Sciences |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/1076956 |
| _version_ | 1827379043331211264 |
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| author | Zeynel Cebeci |
| author_facet | Zeynel Cebeci |
| author_sort | Zeynel Cebeci |
| collection | DOAJ |
| description | In exploratory data analysis and machine learning, partitioning clustering is a frequently used unsupervised learning technique for finding the meaningful patterns in numeric datasets. Clustering aims to identify and classify the objects or the cases in datasets in practice. The clustering quality or the performance of a clustering algorithm is generally evaluated by using the internal validity indices. In this study, an R package named 'fcvalid' is introduced for validation of fuzzy and possibilistic clustering results. The package implements a broad collection of the internal indices which have been proposed to validate the results of fuzzy clustering algorithms. Additionally, the options to compute the generalized and extended versions of the fuzzy internal indices for validation of the possibilistic clustering are also included in the package. |
| first_indexed | 2024-03-08T13:06:24Z |
| format | Article |
| id | doaj.art-a274b44b17fb4f33b842c9d7ebc59828 |
| institution | Directory Open Access Journal |
| issn | 2636-8129 |
| language | English |
| last_indexed | 2024-03-08T13:06:24Z |
| publishDate | 2020-04-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya University Journal of Computer and Information Sciences |
| spelling | doaj.art-a274b44b17fb4f33b842c9d7ebc598282024-01-18T16:44:36ZengSakarya UniversitySakarya University Journal of Computer and Information Sciences2636-81292020-04-0131112710.35377/saucis.03.01.66456028fcvalid: An R Package for Internal Validation of Probabilistic and Possibilistic ClusteringZeynel Cebeci0Çukurova UniversityIn exploratory data analysis and machine learning, partitioning clustering is a frequently used unsupervised learning technique for finding the meaningful patterns in numeric datasets. Clustering aims to identify and classify the objects or the cases in datasets in practice. The clustering quality or the performance of a clustering algorithm is generally evaluated by using the internal validity indices. In this study, an R package named 'fcvalid' is introduced for validation of fuzzy and possibilistic clustering results. The package implements a broad collection of the internal indices which have been proposed to validate the results of fuzzy clustering algorithms. Additionally, the options to compute the generalized and extended versions of the fuzzy internal indices for validation of the possibilistic clustering are also included in the package.https://dergipark.org.tr/tr/download/article-file/1076956internal validity indicesfuzzy clusteringpossibilistic clusteringdata analysisriç geçerlilik endeksleribulanık kümelemeolabilirlikli kümelemeveri analizir |
| spellingShingle | Zeynel Cebeci fcvalid: An R Package for Internal Validation of Probabilistic and Possibilistic Clustering Sakarya University Journal of Computer and Information Sciences internal validity indices fuzzy clustering possibilistic clustering data analysis r iç geçerlilik endeksleri bulanık kümeleme olabilirlikli kümeleme veri analizi r |
| title | fcvalid: An R Package for Internal Validation of Probabilistic and Possibilistic Clustering |
| title_full | fcvalid: An R Package for Internal Validation of Probabilistic and Possibilistic Clustering |
| title_fullStr | fcvalid: An R Package for Internal Validation of Probabilistic and Possibilistic Clustering |
| title_full_unstemmed | fcvalid: An R Package for Internal Validation of Probabilistic and Possibilistic Clustering |
| title_short | fcvalid: An R Package for Internal Validation of Probabilistic and Possibilistic Clustering |
| title_sort | fcvalid an r package for internal validation of probabilistic and possibilistic clustering |
| topic | internal validity indices fuzzy clustering possibilistic clustering data analysis r iç geçerlilik endeksleri bulanık kümeleme olabilirlikli kümeleme veri analizi r |
| url | https://dergipark.org.tr/tr/download/article-file/1076956 |
| work_keys_str_mv | AT zeynelcebeci fcvalidanrpackageforinternalvalidationofprobabilisticandpossibilisticclustering |