Results 11 to 20 of about 376,662 (290)
Automatic Genetic Fuzzy c-Means
Journal of Intelligent Systems, 2018 Fuzzy c-means is an efficient algorithm that is amply used for data clustering. Nonetheless, when using this algorithm, the designer faces two crucial choices: choosing the optimal number of clusters and initializing the cluster centers.
Jebari Khalid +2 more
doaj +2 more sources
Conditional semi‐fuzzy c‐means clustering for imbalanced dataset
IET Image Processing, 2020 Fuzzy c‐means algorithms have been widely utilised in several areas such as image segmentation, pattern recognition and data mining. However, the related studies showed the limitations in facing imbalanced datasets. The maximum fuzzy boundary tends to be
Yunlong Gao +4 more
doaj +2 more sources
Fuzzy c-means with variable compactness [PDF]
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008 Fuzzy c-means (FCM) clustering has been extensively studied and widely applied in the tissue classification of biomedical images. Previous enhancements to FCM have accounted for intensity shading, membership smoothness, and variable cluster sizes. In this paper, we introduce a new parameter called "compactness" which captures additional information of ...
Snehashis Roy +5 more
openaire +2 more sources
A Federated Fuzzy c-means Clustering Algorithm [PDF]
Proceedings of WILF 2021, the 13th International Workshop on Fuzzy Logic and Applications (WILF 2021), 2021 http://ceur-ws.org/Vol-3074/paper08 ...
Bárcena, José Luis Corcuera +4 more
openaire +4 more sources
International Journal on Advanced Science, Engineering and Information Technology, 2019 Among the inherited blood disorders in Southeast Asia, thalassemia is the most prevalent. Thalassemias are pathologies that derive from genetic defects of the globin genes. Thalassemia is also considered a health burden among the world’s population. Thalassemia cannot be cured, but there is a method to prevent the occurrence of thalassemia by early ...
Zuherman Rustam +4 more
openaire +2 more sources
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 2018 Abstrak- Penyaluran zakat tepat sasaran adalah hal yang harus dilakukan. Salah satu cara yang dilakukan adalah membuat sebuah sistem penentuan kelayakan terkomputerisasi. Lazismu merupakan badan pengelola zakat yang akan diterapkan sistem tersebut dengan
Rudi Julian Eka Putra +2 more
doaj +1 more source
Electricity load profile classification using Fuzzy C-Means method [PDF]
, 2008 This paper presents the Fuzzy C-Means (FCM) clustering method. The FCM technique assigns a degree of membership for each data set to several clusters, thus offering the opportunity to deal with load profiles that could belong to more than one group at ...
Bradley, D. +3 more
core +3 more sources
Penerapan Metode Fuzzy C-means pada Pengelompokan Pasien Kanker Payudara Pasca Operasi Menggunakan Haberman's Survival Dataset [PDF]
, 2018 Kanker payudara adalah penyakit yang merupakan urutan kedua sebagai penyebab kematian di dunia. Dimana penanganan kanker payudara diantaranya dilakukan dengan operasi, tetapi penanganan kanker payudara dengan jalan operasi tidaklah merupakan suatu jalan ...
AH, H. R. (Hetty), J, A. (Afrizal)
core +1 more source
Performance comparison of fuzzy and non-fuzzy classification methods
Egyptian Informatics Journal, 2016 In data clustering, partition based clustering algorithms are widely used clustering algorithms. Among various partition algorithms, fuzzy algorithms, Fuzzy c-Means (FCM), Gustafson–Kessel (GK) and non-fuzzy algorithm, k-means (KM) are most popular ...
B. Simhachalam, G. Ganesan
doaj +1 more source
Median evidential c-means algorithm and its application to community detection [PDF]
, 2015 Median clustering is of great value for partitioning relational data. In this paper, a new prototype-based clustering method, called Median Evidential C-Means (MECM), which is an extension of median c-means and median fuzzy c-means on the theoretical ...
Liu, Zhun-Ga +3 more
core +4 more sources