Results 31 to 40 of about 376,662 (290)

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

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

Automatic Feature Set Selection for Merging Image Segmentation Results Using Fuzzy Clustering [PDF]

, 2005
The image segmentation performance of clustering algorithms is highly dependent on the features used and the type of objects contained in the image, which limits the generalization ability of such algorithms.
Ali, Ameer, Dooley, Laurence S., Karmakar, Gour   +2 more
core  

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

FEBS 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, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +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

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

Penerapan Fuzzy C-Means Clustering untuk Mengoptimalkan Penentuan Media Promosi [PDF]

, 2016
Media promosi merupakan salah satu faktor penting dalam pemasaran suatu perguruan tinggi untuk menarik minat calon mahasiswa agar melanjutkan pendidikannya ke tingkat yang lebih tinggi. Pemerataan pendistribusian media promosi pada STIKOM Binaniaga yang
Sarjanako, R. J. (R)
core  

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

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

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source