Results 91 to 100 of about 948,152 (383)
STUDI SIMULASI MENGGUNAKAN FUZZY C-MEANS DALAM MENGKLASIFIKASI KONSTRUK TES
Tulisan ini memperkenalkan metode fuzzy c-means dalam mengklasifikasi konstruk tes. Untuk memverifikasi sifat unidimensional suatu tes biasanya menggunakan analisis faktor sebagai bagian dari statistik parametrik dengan beberapa persyaratan yang ketat ...
Rukli Rukli
doaj
Fuzzy C-Means Clustering Using Asymmetric Loss Function
In this work, a fuzzy clustering algorithm is proposed based on the asymmetric loss function instead of the usual symmetric dissimilarities. Linear Exponential (LINEX) loss function is a commonly used asymmetric loss function, which is considered in this
Israa Abdzaid Atiyah +3 more
doaj +1 more source
Quantum sensing reveals intricate patterns linking endo‐lysosomal maturation to cardiac fibrosis progression, highlighting complexity in cellular remodeling. This study investigates fibroblast‐to‐myofibroblast transition under cell aging, stiffness, and TGF‐β stimulation, comparing nanodiamond uptake, endo‐lysosomal dynamics, and free radical ...
Aldona Mzyk +3 more
wiley +1 more source
” Enhancing Accuracy of Neutrosophic –C means and Fuzzy C means with Application on insurance companies retention limit [PDF]
This study proposed two Methods of clustering including neutrosophic C- means and Fuzzy C-means with application on two insurance companies, contained, misr insurance company and suez canal insurance company.
نيفين محسن أحمد زكى
doaj +1 more source
Perhitungan Jumlah Dan Jenis Kendaraan Menggunakan Metode Fuzzy C-means Dan Segmentasi Deteksi Tepi Canny [PDF]
Pada Penelitian ini memungkinkan kita untuk melakukan perhitungan kendaraan dengan cepat dan mudah dengan menggunakan metode deteksi tepi Canny untuk proses segmentasi dan Fuzzy C-Means untuk menghitung kendaraan.
Muslim, M. A. (M) +2 more
core
Cephalopod‐inspired photonic microparticles with dynamic structural coloration are fabricated via confined self‐assembly of linear block copolymers into ellipsoids containing stacked lamellae. Embedded superparamagnetic nanoparticles enable rapid magnetic alignment, restoring vivid, angle‐dependent color.
Gianluca Mazzotta +8 more
wiley +1 more source
Performance characterization of clustering algorithms for colour image segmentation [PDF]
This paper details the implementation of three traditional clustering techniques (K-Means clustering, Fuzzy C-Means clustering and Adaptive K-Means clustering) that are applied to extract the colour information that is used in the image segmentation ...
Ghita, Ovidiu +2 more
core
Perbandingan Algoritma C-Means Clustering dan Fuzzy C-Means Clustering
Salah satu operasi di dalam analisis citra adalah segmentasi citra. Pada mulanya proses segmentasi dilakukan untuk memisahkan objek dari latar belakangnya, sehingga segmentasi merupakan bagian penting dalam pengenalan objek. Saat ini segmentasi sudah mengalami perkembangan yang sangat pesat, bukan hanya untuk tujuan pengenalan objek saja tetapi juga ...
Abi Kabisah Maulillah, Adhi Kusnadi
openaire +2 more sources
Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser +6 more
wiley +1 more source
Financial distress prediction for listed enterprises using Fuzzy C-Means
Enterprise financial distress prediction model is an important tool for enterprise risk management. Fuzzy C-Means (FCM) model is more suitable for the classification calculation in reality because of introducing the fuzzy membership.
Lu Wang
doaj

