Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Israa Abdzaid Atiyah"'
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 19, Iss 1 (2020)
In this work, a fuzzy clustering algorithm is proposed based on the asymmetric loss function instead of the usual symmetric dissimilarities. Linear Exponential (LINEX) loss function is a commonly used asymmetric loss function, which is considered in
Externí odkaz:
https://doaj.org/article/d1e960540f244a9395efb4239d03d412
Publikováno v:
Advances in Fuzzy Systems, Vol 2018 (2018)
A novel hybrid clustering method, named KC-Means clustering, is proposed for improving upon the clustering time of the Fuzzy C-Means algorithm. The proposed method combines K-Means and Fuzzy C-Means algorithms into two stages. In the first stage, the
Externí odkaz:
https://doaj.org/article/7965c184b69645618209e91d0f490a80
Publikováno v:
Advances in Fuzzy Systems, Vol 2018 (2018)
A novel hybrid clustering method, named KC-Means clustering, is proposed for improving upon the clustering time of the Fuzzy C-Means algorithm. The proposed method combines K-Means and Fuzzy C-Means algorithms into two stages. In the first stage, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21d427e812c0c6c670d724f33fac6524
https://doaj.org/article/7965c184b69645618209e91d0f490a80
https://doaj.org/article/7965c184b69645618209e91d0f490a80
Publikováno v:
2017 5th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS).
The fuzzy c-means method is investigated to cluster the heavy tailed data by using some measures of distance. A comparison study is provided based on time and precision. The results show that when using the Euclidean distance, the time required is le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70b5ff06573842480a8d3f359827f7c6
https://doi.org/10.1109/cfis.2017.8003683
https://doi.org/10.1109/cfis.2017.8003683
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 19, Iss 1 (2020)
In this work, a fuzzy clustering algorithm is proposed based on the asymmetric loss function instead of the usual symmetric dissimilarities. Linear Exponential (LINEX) loss function is a commonly used asymmetric loss function, which is considered in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::089fda69ad4059fd344990541fdac2f2
https://doi.org/10.2991/jsta.d.200302.002
https://doi.org/10.2991/jsta.d.200302.002