Search Results - "“fuzzy c-means” algorithm"

Accelerating Fuzzy-C Means Using an Estimated Subsample Size by Parker, Jonathon K., Hall, Lawrence O.

“…Many algorithms designed to accelerate the fuzzy c-means (FCM) clustering algorithm randomly sample the data. Typically, no statistical method is used to…”
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A Novel Evolutionary Kernel Intuitionistic Fuzzy C -means Clustering Algorithm by Lin, Kuo-Ping

“…This study proposes a novel evolutionary kernel intuitionistic fuzzy c-means clustering algorithm (EKIFCM) that combines Atanassov's intuitionistic fuzzy sets…”
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Pythagorean fuzzy C‐means algorithm for image segmentation by Ma, Rong, Zeng, Wenyi, Song, Guangcheng, Yin, Qian, Xu, Zeshui

“…In recent decades, image segmentation has aroused great interest of many researchers, and has become an important part of machine learning, pattern…”
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A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation by Borlea, Ioan-Daniel, Precup, Radu-Emil, Borlea, Alexandra-Bianca, Iercan, Daniel

“…This paper proposes as an element of novelty the Unified Form (UF) clustering algorithm, which treats Fuzzy C-Means (FCM) and K-Means (KM) algorithms as a…”
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Clustering healthcare big data using advanced and enhanced fuzzy C‐means algorithm by Purandhar, N., Ayyasamy, S., Saravanakumar, N.M.

“…Summary The procedure for revelation and extraction is known as the data mining (DM) where immense measure of information is included. The information mining…”
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Fuzzy c-Means Algorithms for Very Large Data by Havens, T. C., Bezdek, J. C., Leckie, C., Hall, L. O., Palaniswami, M.

“…Very large (VL) data or big data are any data that you cannot load into your computer's working memory. This is not an objective definition, but a definition…”
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A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises by Yang, Xiaowei, Zhang, Guangquan, Lu, Jie, Ma, Jun

“…The support vector machine (SVM) has provided higher performance than traditional learning machines and has been widely applied in real-world classification…”
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Hybrid whale optimization algorithm with gathering strategies for high-dimensional problems by Zhang, Xinming, Wen, Shaochen

“…•A novel two-stage individual-based Whale Optimization Algorithm is proposed.•Opposition learning and grey wolf optimizer are added to raise solution…”
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A Probabilistic Linguistic Three-Way Decision Method With Regret Theory via Fuzzy c-Means Clustering Algorithm by Zhu, Jinxing, Ma, Xueling, Martinez, Luis, Zhan, Jianming

“…Aiming at multiattribute decision-making (MADM) problems with probabilistic linguistic term sets (PLTSs), and considering the effective rationality of a…”
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Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering by Gong, Maoguo, Zhou, Zhiqiang, Ma, Jingjing

“…This paper presents an unsupervised distribution-free change detection approach for synthetic aperture radar (SAR) images based on an image fusion strategy and…”
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A New Weighted Fuzzy C-Means Clustering Algorithm for Remotely Sensed Image Classification by Chih-Cheng Hung, Kulkarni, S, Bor-Chen Kuo

“…Fuzzy clustering model is an essential tool to find the proper cluster structure of given data sets in pattern and image classification. In this paper, a new…”
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Swarm intelligence based fuzzy routing protocol for clustered wireless sensor networks by Zahedi, Zeynab Molay, Akbari, Reza, Shokouhifar, Mohammad, Safaei, Farshad, Jalali, Ali

“…•A fuzzy-based protocol is presented for clustered wireless sensor networks.•The main objective is to form balanced clusters over the network.•A hybrid swarm…”
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Incorporating energy storage and user experience in isolated microgrid dispatch using a multi‐objective model by Li, Yang, Yang, Zhen, Zhao, Dongbo, Lei, Hangtian, Cui, Bai, Li, Shaoyan

“…In order to coordinate multiple different scheduling objectives from the perspectives of economy, environment, and users, a practical multi‐objective dynamic…”
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An enhanced distributed differential evolution algorithm for portfolio optimization problems by Song, Yingjie, Zhao, Gaoyang, Zhang, Bin, Chen, Huayue, Deng, Wuquan, Deng, Wu

“…The population structure of differential evolution (DE) algorithm cannot maintain the diversity of the population to the greatest extent and help the…”
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Intuitionistic Fuzzy C-Means Algorithm Based on Membership Information Transfer-Ring and Similarity Measurement by Chen, Haipeng, Xie, Zeyu, Huang, Yongping, Gai, Di

“…The fuzzy C-means clustering (FCM) algorithm is used widely in medical image segmentation and suitable for segmenting brain tumors. Therefore, an…”
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Non-destructive Identification of the geographical origin of red jujube by near-infrared spectroscopy and fuzzy clustering methods by Hu, Caiping, Xu, Hongjia, Fu, Zhaoming, Wu, Bin, Zhang, Rui, Zhi, Chenhong

“…The red jujube quality is closely associated with its place of origin. In order to quickly and easily identify the geographical origin of red jujube, the…”
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A stratified sampling based clustering algorithm for large-scale data by Zhao, Xingwang, Liang, Jiye, Dang, Chuangyin

“…Large-scale data analysis is a challenging and relevant task for present-day research and industry. As a promising data analysis tool, clustering is becoming…”
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Fuzzy c-means clustering algorithm for directional data (FCM4DD) by Kesemen, Orhan, Tezel, Özge, Özkul, Eda

“…•A new approximation for clustering of directional data is proposed.•The proposed method is simple, fast and stable when compared to other methods.•The…”
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Discovering Fuzzy Structural Patterns for Graph Analytics by He, Tiantian, Chan, Keith C. C.

“…Many real-world datasets can be represented as attributed graphs that contain vertices, each of which is associated with a set of attribute values. Discovering…”
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Interval possibilistic C-means algorithm and its application in image segmentation by Zeng, Wenyi, Liu, Yuqing, Cui, Hanshuai, Ma, Rong, Xu, Zeshui

“…Currently, image segmentation is widely used in face recognition, medical imaging, traffic control systems, and many other fields. The traditional…”
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