Results 41 to 50 of about 23,287,312 (305)
Comparative Analysis of Fuzzy C Means and Fuzzy C Means++
IITM Journal of Management and IT, 2018 Cluster analysis is one of the most useful means for identifying relations and patterns in the area of data mining. It can be defined as partitioning of large volumes of data into various clusters that share some property or attribute. The most common clustering algorithm is k means.
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A Federated Fuzzy c-means Clustering Algorithm
Proceedings of WILF 2021, the 13th International Workshop on Fuzzy Logic and Applications (WILF 2021), 2021 http://ceur-ws.org/Vol-3074/paper08 ...
Bárcena, José Luis Corcuera +4 more
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BarekengCluster analysis involves the methodical categorization of data based on the degree of similarity within each group to group data with similar characteristics. This study focuses on classifying poverty data across Indonesian provinces.
Dian Kurniasari +4 more
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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 +2 more
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Turbid of Water By Using Fuzzy C- Means and Hard K- Means
مجلة 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
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, 2012 Clustering techniques are frequently used to analyze census data and obtain meaningful large-scale groups. Geodemographic segmentation involves classifying small geographic areas e for example, block groups, census tracts, or neighborhoods - into ...
Thomas, H. +5 more
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How structural disorder and polyelectrolyte properties of prothymosin α enable its large interactome
FEBS Letters, EarlyView.In this review, complexes of the fully disordered and highly negatively charged prothymosin α are collected, described, and discussed. Linked to its poly‐electrostatic character, prothymosin α engages a large interactome through multiple different binding modes ranging from fully disordered complexes to short linear motif (SLiM)‐driven interactions ...
Ketty C. Tamburrini +3 more
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Interval-Valued Fuzzy c-Means Algorithm and Interval-Valued Density-Based Fuzzy c-Means Algorithm
, 2020 Most of the time membership value in the fuzzy set cannot be exactly defined. Interval-valued fuzzy set (IVFS) is a special type of type-2 fuzzy sets which represents the membership value of the fuzzy set as an interval.
Q. M. Danish Lohani +7 more
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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 +8 more
wiley +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 +2 more
wiley +1 more source