Search Results - "C-means algorithm"

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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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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Cloud Workload Forecasting via Latency‐Aware Time Series Clustering‐Based Scheduling Technique by Sridhar, P., Sathiya, R. R.

“…ABSTRACT Cloud computing is a fundamental paradigm for computing services based on the elasticity attribute, in which available resources are effectively…”
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DFBS: A Novel Fuzzy C-Means-Based Ensemble Clustering Algorithm by Tian, Ye, Man, Zhixian

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A small-object segmentation algorithm for intercluster imbalance based on histogram- and stickiness-aware boosting by Chong, Qianpeng, Wen, Jiakun, Wan, Qianhui, Zeng, Wenyi, Yin, Qian, Cheng, Dong

“…Traditional fuzzy C-means (FCM) clustering and its variants, as important unsupervised image segmentation methods, have average performance, usually perform…”
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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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Robust unsupervised small area change detection from SAR imagery using deep learning by Zhang, Xinzheng, Su, Hang, Zhang, Ce, Gu, Xiaowei, Tan, Xiaoheng, Atkinson, Peter M.

“…[Display omitted] •A multiscale superpixel reconstruction method was developed to generate the Difference Image.•A two-stage center-constrained FCM algorithm…”
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A novel hybrid Extreme Learning Machine and Teaching–Learning-Based​ Optimization algorithm for skin cancer detection by Priyadharshini, N., N., Selvanathan, Hemalatha, B., Sureshkumar, C.

“…Skin cancers, such as melanoma, can be difficult to spot in their early stages because they often resemble benign moles. Early detection of melanoma is crucial…”
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Secure weighted possibilistic c-means algorithm on cloud for clustering big data by Zhang, Qingchen, Yang, Laurence T., Castiglione, Arcangelo, Chen, Zhikui, Li, Peng

“…The weighted possibilistic c-means algorithm is an important soft clustering technique for big data analytics with cloud computing. However, the private data…”
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Performance based analysis between k-Means and Fuzzy C-Means clustering algorithms for connection oriented telecommunication data by T., Velmurugan

“…•The partition based clustering algorithms k-Means and Fuzzy C-Means algorithms are taken for analysis via its computational time.•The distance between servers…”
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Intuitionistic fuzzy local information C-means algorithm for image segmentation by Cui, Hanshuai, Xie, Zheng, Zeng, Wenyi, Ma, Rong, Zhang, Yinghui, Yin, Qian, Xu, Zeshui

“…Image segmentation allows us to separate an image into distinct, non-overlapping parts by utilizing specific features such as hue, texture, and shape. The…”
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A generalized fuzzy-possibilistic c-means clustering algorithm by Naghi, Mirtill-Boglárka, Kovács, Levente, Szilágyi, László

“…The so-called fuzzy-possibilistic c-means (FPCM) algorithm was introduced as an early mixed-partition method aiming to eliminate some adverse effects present…”
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Methods of Resource Scheduling Based on Optimized Fuzzy Clustering in Fog Computing by Li, Guangshun, Liu, Yuncui, Wu, Junhua, Lin, Dandan, Zhao, Shuaishuai

“…Cloud computing technology is widely used at present. However, cloud computing servers are far from terminal users, which may lead to high service request…”
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Coupling fuzzy clustering and cellular automata based on local maxima of development potential to model urban emergence and expansion in economic development zones by Liang, Xun, Liu, Xiaoping, Chen, Guangliang, Leng, Jiye, Wen, Youyue, Chen, Guangzhao

“…Modeling urban growth in Economic development zones (EDZs) can help planners determine appropriate land policies for these regions. However, sometimes EDZs are…”
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An application of sine cosine algorithm-based fuzzy possibilistic c-ordered means algorithm to cluster analysis by Kuo, R. J., Lin, Jun-Yu, Nguyen, Thi Phuong Quyen

“…Due to advances in information technology, data collection is becoming much easier. Clustering is an important technique for exploring data structures used in…”
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Rough Hypercuboid Based Generalized and Robust IT2 Fuzzy C-Means Algorithm by Maji, Pradipta, Garai, Partha

“…One of the important issues in pattern recognition and machine learning is how to find natural groups present in a dataset. In this regard, this paper presents…”
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Consensus reaching process using personalized modification rules in large-scale group decision-making by Guo, Lun, Zhan, Jianming, Kou, Gang

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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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A hierarchical prediction model for lane-changes based on combination of fuzzy C-means and adaptive neural network by Tang, Jinjun, Yu, Shaowei, Liu, Fang, Chen, Xinqiang, Huang, Helai

“…•A hierarchical prediction model is proposed to predict steering angles.•The model combines fuzzy c-means and adaptive neural network.•A clustering learning…”
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