Results 31 to 40 of about 375,352 (295)

Turbid of Water By Using Fuzzy C- Means and Hard K- Means

open access: yesمجلة بغداد للعلوم, 2020
In this research two algorithms are applied, the first is Fuzzy C Means (FCM) algorithm and the second is hard K means (HKM) algorithm to know which of them is better than the others these two algorithms are applied on a set of data collected  from the ...
Rand Muhaned Fawzi, Iden Hassan Alkanani
doaj   +1 more source

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

open access: yesAxioms, 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   +6 more
doaj   +1 more source

APLIKASI METODE FUZZY C-MEANS UNTUK MENENTUKAN TINGKAT PENGANGGURAN

open access: yesBarekeng, 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   +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]

open access: yes, 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)   +2 more
core  

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

open access: yesFEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li   +8 more
wiley   +1 more source

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

open access: yesBarekeng, 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   +2 more
doaj   +1 more source

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

open access: yes, 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   +2 more
core  

Impact of APOE ε4 Genotype Load on Cognitive Function and Lipid Metabolism in Patients With Cerebral Small Vessel Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin   +6 more
wiley   +1 more source

Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih   +40 more
wiley   +1 more source

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

open access: yesAnnals 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   +14 more
wiley   +1 more source

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