Results 31 to 40 of about 22,177,297 (251)
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
core +1 more source
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
doaj +1 more source
Revisiting Possibilistic Fuzzy C-Means Clustering Using the Majorization-Minimization Method
EntropyPossibilistic fuzzy c-means (PFCM) clustering is a kind of hybrid clustering method based on fuzzy c-means (FCM) and possibilistic c-means (PCM), which not only has the stability of FCM but also partly inherits the robustness of PCM.
Yuxue Chen, Shuisheng Zhou
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 +2 more
doaj +1 more source
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
doaj +1 more source
Barekeng, 2023 Indonesia is a country that has a population density that is increasing every year, with the increase in population density, the crime rate in Indonesia is increasing. Criminal acts arise because they are supported by factors that cause crime. To improve
Bella Destia, Mujiati Dwi Kartikasari
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Dealing with non-metric dissimilarities in fuzzy central clustering algorithms [PDF]
, 2008 Clustering is the problem of grouping objects on the basis of a similarity measure among them. Relational clustering methods can be employed when a feature-based representation of the objects is not available, and their description is given in terms of ...
Filippone, Maurizio +2 more
core +1 more source
FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 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 +2 more
doaj +1 more source
, 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
core +1 more source