Results 41 to 50 of about 948,152 (383)

Hybrid Fuzzy C-Means Clustering Algorithm Oriented to Big Data Realms

Axioms, 2022
A hybrid variant of the Fuzzy C-Means and K-Means algorithms is proposed to solve large datasets such as those presented in Big Data. The Fuzzy C-Means algorithm is sensitive to the initial values of the membership matrix.
Joaquín Pérez-Ortega, Sandra Silvia Roblero-Aguilar, Nelva Nely Almanza-Ortega, Juan Frausto Solís, Crispín Zavala-Díaz, Yasmín Hernández, Vanesa Landero-Nájera   +6 more
doaj   +1 more source

APLIKASI METODE FUZZY C-MEANS UNTUK MENENTUKAN TINGKAT PENGANGGURAN

Barekeng, 2017
Pada penelitian ini Algoritma Fuzzy C-Means digunakan untuk menentukan tingkat pengangguran pada 11 kabupaten di Provinsi Maluku. Variabel yang digunakan dalam penelitian ini adalah Jumlah Penduduk, Tingkat Partisipasi Angkatan Kerja (TPAK), Jumlah ...
Dorteus L. Rahakbauw, Lexy J. Sinay, Vilomina Enus   +2 more
doaj   +1 more source

Implementasi Algoritma Fuzzy C - Means Clustering Dan Simple Additive Weighting Dalam Pemberian Bantuan Program Peningkatan Kualitas Kawasan Permukiman [PDF]

, 2016
Permasalahan kemiskinan di Indonesia sudah sangat mendesak untuk ditangani, khususnya pada wilayah perkotaan. Kementrian PUPR menyatakan salah satu kondisi fisik masyarakat miskin adalah tidak memiliki akses sarana dan prasarana dasar lingkungan yang ...
Andreswari, D. (Desi), Ernawati, E. (Ernawati), Shugara, R. (Robbie)   +2 more
core  

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

APLIKASI METODE FUZZY C-MEANS UNTUK PENGKLASTERAN KELAYAKAN RUMAH DI DESA WAYAME, AMBON

Barekeng, 2015
Pengklasteran adalah proses pengelompokan data ke dalam klaster berdasarkan parameter tertentu sehingga obyek-obyek dalam sebuah klaster memiliki tingkat kemiripan yang tinggi satu sama lain dan sangat tidak mirip dengan obyek yang lain pada klaster yang
R. P. A. Sormin, F. Y. Rumlawang, L. J. Sinay   +2 more
doaj   +1 more source

Fuzzy Image Segmentation using Suppressed Fuzzy C-Means Clustering (SFCM) [PDF]

, 2004
Clustering algorithms are highly dependent on the features used and the type of the objects in a particular image. By considering object similar surface variations (SSV) as well as the arbitrariness of the fuzzy c-means (FCM) algorithm for pixel location,
Ali, Ameer, Karmakar, Gour C., Dooley, Laurence S.   +2 more
core  

FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief [PDF]

Information Sciences, 2020
To effectively optimize Takagi-Sugeno-Kang (TSK) fuzzy systems for regression problems, a mini-batch gradient descent with regularization, DropRule, and AdaBound (MBGD-RDA) algorithm was recently proposed.
Zhenhua Shi, Dongrui Wu, Chenfeng Guo, Changming Zhao, Yuqi Cui, Fei-Yue Wang   +5 more
semanticscholar   +1 more source

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

FEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman, Katarzyna Stapor, Leszek Konieczny, Krzysztof Gądek, Piotr Nowakowski   +4 more
wiley   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

A New Modified Technique to Identify Outlier Values Using Fuzzy Clustering [PDF]

مجلة جامعة الانبار للعلوم الصرفة
Outliers within a dataset are data points that substantially differ from the rest of the data. These atypical data points can be attributed to a range of factors, such as errors in measurement, issues with data input, and natural variations in the data ...
Wafaa Hasanain, Saja Sakran
doaj   +1 more source