Differential privacy fuzzy C-means clustering algorithm based on gaussian kernel function. [PDF]
PLoS ONE, 2021 Fuzzy C-means clustering algorithm is one of the typical clustering algorithms in data mining applications. However, due to the sensitive information in the dataset, there is a risk of user privacy being leaked during the clustering process.
Yaling Zhang, Jin Han
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Intuitionistic Fuzzy Possibilistic C Means Clustering Algorithms [PDF]
Advances in Fuzzy Systems, 2015 Intuitionistic fuzzy sets (IFSs) provide mathematical framework based on fuzzy sets to describe vagueness in data. It finds interesting and promising applications in different domains. Here, we develop an intuitionistic fuzzy possibilistic C means (IFPCM)
Arindam Chaudhuri
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Conditional semi‐fuzzy c‐means clustering for imbalanced dataset
IET Image Processing, 2020 Fuzzy c‐means algorithms have been widely utilised in several areas such as image segmentation, pattern recognition and data mining. However, the related studies showed the limitations in facing imbalanced datasets. The maximum fuzzy boundary tends to be
Yunlong Gao +4 more
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An improved fuzzy clustering image segmentation algorithm combining spatial information
Xi'an Gongcheng Daxue xuebao, 2021 In order to improve the ability of fuzzy C-means (FCM) clustering algorithm to suppress noise, an improved fuzzy clustering image segmentation algorithm was proposed.
Xudong LIU +4 more
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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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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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Intuitionistic Fuzzy c-Ordered Means Clustering Algorithm
IEEE Access, 2022 Atanassov intuitionistic fuzzy set (AIFS) has the capability to deal with various uncertain situations, so its popularity among researchers is quite high.
Meenakshi Kaushal, Q. M. Danish Lohani
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Implementation of Fuzzy C-Means for Clustering the Majelis Ulama Indonesia (MUI) Fatwa Documents
JOIN: Jurnal Online Informatika, 2021 Since the Indonesian Ulema Council (MUI) was established in 1975 until now, this institution has produced 201 edicts covering various fields. Text mining is one of the techniques used to collect data hidden from data that form text.
Fajar Rohman Hariri
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PENERAPAN FUZZY C-MEANS UNTUK PENGELOMPOKKAN TINGKAT KUALITAS PENDIDIKAN DI JAWA TIMUR
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2023 Salah satu faktor yang menentukan apakah perkembangan manusia itu positif atau negatif adalah pendidikan. Khususnya Provinsi Jawa Timur yang memiliki angka kesenjangan mutu pendidikan antar daerah dan Lembaga.
Nurissaidah Ulinnuha +1 more
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Deep autoencoder-based fuzzy c-means for topic detection
Array, 2022 Topic detection is a process for determining topics from a collection of textual data. One of the topic detection methods is clustering based, which assumes that the centroids are topics.
Hendri Murfi +2 more
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