Results 11 to 20 of about 948,152 (383)

Fuzzy C-means++: Fuzzy C-means with effective seeding initialization

Expert Systems with Applications, 2015
AbstractFuzzy C-means has been utilized successfully in a wide range of applications, extending the clustering capability of the K-means to datasets that are uncertain, vague and otherwise hard to cluster. This paper introduces the Fuzzy C-means++ algorithm which, by utilizing the seeding mechanism of the K-means++ algorithm, improves the effectiveness
Stetco, Adrian, Zeng, Xiao-jun, Keane, John   +2 more
openaire   +4 more sources

Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering

IEEE Transactions on Fuzzy Systems, 2018
As fuzzy c-means clustering (FCM) algorithm is sensitive to noise, local spatial information is often introduced to an objective function to improve the robustness of the FCM algorithm for image segmentation.
Tao Lei, Xiaohong Jia, Yanning Zhang, Lifeng He, Hongying Meng, A. Nandi   +5 more
semanticscholar   +3 more sources

Bilateral Weighted Fuzzy C-Means Clustering

Iranian Journal of Electrical and Electronic Engineering, 2012
Nowadays, the Fuzzy C-Means method has become one of the most popular clustering methods based on minimization of a criterion function. However, the performance of this clustering algorithm may be significantly degraded in the presence of noise.
A. H. Hadjahmadi, M. M. Homayounpour, M. Ahadi   +2 more
doaj   +1 more source

Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors

Int. J. E Health Medical Commun., 2023
Due to the advancements in the lifestyle, stress builds enormously among individuals. A few recent studies have indicated that stress is a major contributor for infertility and subsequent ovarian cancer among women of reproductive age.
Ashwini Kodipalli, S. Fernandes, Santosh K. Dasar, Taha Ismail   +3 more
semanticscholar   +1 more source

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, Sugiyarto - Surono, Suparman suparman   +2 more
doaj   +1 more source

Fuzzy C-Means Clustering: A Review of Applications in Breast Cancer Detection

Entropy, 2023
This paper reviews the potential use of fuzzy c-means clustering (FCM) and explores modifications to the distance function and centroid initialization methods to enhance image segmentation.
D. Krasnov, Dresya Davis, Keiran Malott, Yiting Chen, Xiaoping Shi, Augustine Wong   +5 more
semanticscholar   +1 more source

Unsupervised Multiview Fuzzy C-Means Clustering Algorithm

Electronics, 2023
The rapid development in information technology makes it easier to collect vast numbers of data through the cloud, internet and other sources of information.
Ishtiaq Hussain, Kristina P. Sinaga, Miin-Shen Yang   +2 more
semanticscholar   +1 more source

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, Harsh, Agarwal, Aaron, Carass, Ying, Bai, Dzung L, Pham, Jerry L, Prince   +5 more
openaire   +2 more sources

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
doaj   +1 more source

Pengelompokan Kecamatan di Wilayah Kabupaten Bojonegoro Berdasarkan Jenis Penyandang Masalah Kesejahteraan Sosial Menggunakan Fuzzy C-Means

Techno.Com, 2023
Penyandang Masalah Kesejahteraan Sosial (PMKS) adalah sekelompok orang yang tidak dapat menjanankan fungsi sosial karena tantangan spiritual, fisik, atau sosial.
Nafa Nur Nanda Adifia, Nurissaidah Ulinnuha, Hani Khaulasari   +2 more
doaj   +1 more source