Results 11 to 20 of about 66,224 (345)
IEEE Transactions on Fuzzy Systems, 2018 As fuzzy c-means clustering (FCM) algorithm is sensitive to noise, local spatial information is often introduced to an objective function to improve the robustness of the FCM algorithm for image segmentation.
Tao Lei +5 more
semanticscholar +3 more sources
K-means and fuzzy c-means algorithm comparison on regency/city grouping in Central Java Province
Desimal, 2022 The Human Development Index (HDI) is very important in measuring the country's success as an effort to build the quality of life of people in a region, including Indonesia. The government needs to make groupings based on the needs of a city/district.
Ummu Wachidatul Latifah +2 more
doaj +1 more source
A Federated Fuzzy c-means Clustering Algorithm
Proceedings of WILF 2021, the 13th International Workshop on Fuzzy Logic and Applications (WILF 2021), 2021 Traditional clustering algorithms require data to be centralized on a single machine or in a datacenter. Due to privacy issues and traffic limitations, in several real applications data cannot be transferred, thus hampering the effectiveness of traditional clustering algorithms, which can operate only on locally stored data.
B��rcena, Jos�� Luis Corcuera +4 more
openaire +3 more sources
Intuitionistic Fuzzy c-Ordered Means Clustering Algorithm
IEEE Access, 2022 Atanassov intuitionistic fuzzy set (AIFS) has the capability to deal with various uncertain situations, so its popularity among researchers is quite high.
Meenakshi Kaushal, Q. M. Danish Lohani
doaj +1 more source
Fuzzy C-Means Clustering: A Review of Applications in Breast Cancer Detection
Entropy, 2023 This paper reviews the potential use of fuzzy c-means clustering (FCM) and explores modifications to the distance function and centroid initialization methods to enhance image segmentation.
D. Krasnov +5 more
semanticscholar +1 more source
Segmentation of multicolor fluorescence in situ hybridization images using an improved fuzzy C-means clustering algorithm by incorporating both spatial and spectral information [PDF]
J Med Imaging (Bellingham), 2017 Jingyao Li, Dongdong Lin, Yu-Ping Wang
openalex +3 more sources
Implementation of Fuzzy C-Means for Clustering the Majelis Ulama Indonesia (MUI) Fatwa Documents
JOIN: Jurnal Online Informatika, 2021 Since the Indonesian Ulema Council (MUI) was established in 1975 until now, this institution has produced 201 edicts covering various fields. Text mining is one of the techniques used to collect data hidden from data that form text.
Fajar Rohman Hariri
doaj +1 more source
Weighted-covariance factor fuzzy c-means clustering [PDF]
2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2015 In this paper, we propose a factor weighted fuzzy c-means clustering algorithm. Based on the inverse of a covariance factor, which assesses the collinearity between the centers and samples, this factor takes also into account the compactness of the samples within clusters. The proposed clustering algorithm allows to classify spherical and non-spherical
Rammal, Abbas +4 more
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PENERAPAN FUZZY C-MEANS UNTUK PENGELOMPOKKAN TINGKAT KUALITAS PENDIDIKAN DI JAWA TIMUR
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2023 Salah satu faktor yang menentukan apakah perkembangan manusia itu positif atau negatif adalah pendidikan. Khususnya Provinsi Jawa Timur yang memiliki angka kesenjangan mutu pendidikan antar daerah dan Lembaga.
Nurissaidah Ulinnuha +1 more
doaj +1 more source
Unsupervised Multiview Fuzzy C-Means Clustering Algorithm
Electronics, 2023 The rapid development in information technology makes it easier to collect vast numbers of data through the cloud, internet and other sources of information.
Ishtiaq Hussain +2 more
semanticscholar +1 more source