Results 11 to 20 of about 23,287,312 (305)
Automatic Genetic Fuzzy c-Means
Journal of Intelligent Systems, 2018 Fuzzy c-means is an efficient algorithm that is amply used for data clustering. Nonetheless, when using this algorithm, the designer faces two crucial choices: choosing the optimal number of clusters and initializing the cluster centers.
Jebari Khalid +2 more
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On the selection of m for Fuzzy c-Means [PDF]
Advances in Intelligent Systems Research, 2015 Fuzzy c-means is a well known fuzzy clustering algorithm. It is an unsupervised clustering algorithm that permits us to build a fuzzy partition from data. The algorithm depends on a parameter m which corresponds to the degree of fuzziness of the solution. Large values of m will blur the classes and all elements tend to belong to all clusters.
Vicenç Torra, Torra, Vicenç,
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Revisiting Possibilistic Fuzzy C-Means Clustering Using the Majorization-Minimization Method [PDF]
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
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Optimasi Fuzzy C-Means dan K-Means Menggunakan Algoritma Genetika untuk Pengklasteran Dataset Diabetic Retinopathy [PDF]
Jurnal Teknologi Informasi dan Ilmu Komputer, 2020 Diabetic Retinopathy adalah komplikasi dari diabetes yang mengakibatkan gangguan pada retina mata. Gangguan tersebut dapat diketahui dengan deteksi awal melalui data yang diekstraksi dari citra mata. Deteksi awal dapat dilakukan dengan menggunakan metode
Muhammad Ezar Al Rivan +2 more
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Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means [PDF]
Results in Physics, 2021 In this work, the partitioning clustering of COVID-19 data using c-Means (cM) and Fuzy c-Means (Fc-M) algorithms is carried out. Based on the data available from January 2020 with respect to location, i.e., longitude and latitude of the globe, the ...
Asif Afzal +6 more
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A Bayesian Interpretation of Fuzzy C-Means
, 2023 In Explainable Artificial Intelligence, the interpretation of the decisions provided by a model is of primary importance. In this context, we consider Fuzzy C-Means (FCM), which is a clustering algorithm that induces a model from data by assigning, to ...
Corrado Mencar, Ciro Castiello
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ANALISIS PERBANDINGAN METODE FUZZY C-MEANS DAN SUBTRACTIVE FUZZY C-MEANS
Media Statistika, 2015 Fuzzy C-Means (FCM) is one of the most frequently used clustering method. However FCM has some disadvantages such as number of clusters to be prespecified and partition matrix to be randomly initiated which makes clustering result becomes inconsistent ...
Baiq Nurul Haqiqi, Robert Kurniawan
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KLASTERING INDUSTRI DI KABUPATEN KUDUS MENGGUNAKAN METODE FUZZY C-MEANS [PDF]
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2016 Penelitian ini menggunakan metode klastering Fuzzy C Means, yang digunakan untuk klastering industri di Kabupaten Kudus, teori ini merupakan penggunaan dari teori klastering Fuzzy C Means. Klastering industri di kabupaten Kudus dilaksanakan sebagai upaya
Pratomo Setiaji, Wiwit Agus Triyanto
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K-means and fuzzy c-means algorithm comparison on regency/city grouping in Central Java Province
Desimal, 2022 The Human Development Index (HDI) is very important in measuring the country's success as an effort to build the quality of life of people in a region, including Indonesia. The government needs to make groupings based on the needs of a city/district.
Ummu Wachidatul Latifah +2 more
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Fuzzy c-means with variable compactness [PDF]
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008 Fuzzy c-means (FCM) clustering has been extensively studied and widely applied in the tissue classification of biomedical images. Previous enhancements to FCM have accounted for intensity shading, membership smoothness, and variable cluster sizes. In this paper, we introduce a new parameter called "compactness" which captures additional information of ...
Snehashis Roy +5 more
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