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Optimasi Fuzzy C-Means dan K-Means Menggunakan Algoritma Genetika untuk Pengklasteran Dataset Diabetic Retinopathy

open access: yesJurnal Teknologi Informasi dan Ilmu Komputer, 2020
Diabetic Retinopathy adalah komplikasi dari diabetes yang mengakibatkan gangguan pada retina mata. Gangguan tersebut dapat diketahui dengan deteksi awal melalui data yang diekstraksi dari citra mata. Deteksi awal dapat dilakukan dengan menggunakan metode
Muhammad Ezar Al Rivan   +2 more
doaj   +1 more source

Implementation of Fuzzy C-Means for Clustering the Majelis Ulama Indonesia (MUI) Fatwa Documents

open access: yesJOIN: 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

Possibilistic fuzzy c-means with partial supervision

open access: yesFuzzy Sets Syst., 2022
Clustering is a data analysis method that creates groups of objects according to a similarity notion. Amongst the existing clustering algorithms, the possibilistic fuzzy c-means (PFCM) is a well-known algorithm since it generates a possibilistic ...
Violaine Antoine   +2 more
semanticscholar   +1 more source

Comparison of Fuzzy C-Means, Fuzzy Kernel C-Means, and Fuzzy Kernel Robust C-Means to Classify Thalassemia Data

open access: yesInternational 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

Penerapan Metode Fuzzy C-means pada Pengelompokan Pasien Kanker Payudara Pasca Operasi Menggunakan Haberman's Survival Dataset [PDF]

open access: yes, 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

Electricity load profile classification using Fuzzy C-Means method [PDF]

open access: yes, 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

Aplikasi E-Zakat Penerimaan dan Penyaluran Menggunakan Fuzzy C-Means (Studi Kasus: LAZISMU Pekanbaru)

open access: yesDigital 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

A hybrid interval type-2 semi-supervised possibilistic fuzzy c-means clustering and particle swarm optimization for satellite image analysis

open access: yesInformation Sciences, 2021
Although satellite images can provide more information about the earth’s surface in a relatively short time and over a large scale, they are affected by observation conditions and the accuracy of the image acquisition equipment. The objects on the images
D. Mai   +3 more
semanticscholar   +1 more source

Benchmarking parameterized fuzzy c-Means classifier

open access: yes2009 IEEE International Conference on Fuzzy Systems, 2009
This paper reports on the performance of the fuzzy c-means based classifier (FCMC). Test set performances optimized by way of several CV procedures and three sets of hyperparameters are throughly compared. UCI benchmark datasets are used to evaluate the performance.
Hidetomo ICHIHASHI   +3 more
openaire   +2 more sources

Performance comparison of fuzzy and non-fuzzy classification methods

open access: yesEgyptian 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

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