Search Results - K‐FCM clustering algorithm

A highly efficient framework for outlier detection in urban traffic flow by Wang, Xing, Zeng, Ruihao, Zou, Fumin, Huang, Faliang, Jin, Biao

“…‐means clustering algorithm with the Optimal k‐cluster centre (K‐FCM) is adopted to cluster the roads with the same…”
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Comparison of K-means and FCM algorithms to optimize spatiotemporal pore pressure prediction of earth dams by Beiranvand, Behrang, Rajaee, Taher, Komasi, Mehdi

“… suitable method for zoning and analyzing the pore pressure of dams.•By comparing the results of the clustering algorithms, it was found that the FCM algorithm…”
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Effective FCM noise clustering algorithms in medical images by Kannan, S.R, Devi, R, Ramathilagam, S, Takezawa, K

“…-Euclidean structures in data to enhance the robustness of the original clustering algorithms to reduce noise and outliers…”
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Fuzzy c-means and K-means clustering with genetic algorithm for identification of homogeneous regions of groundwater quality by Mohammadrezapour, Omolbani, Kisi, Ozgur, Pourahmad, Fariba

“…In this study, two different clustering algorithms, fuzzy c -means (FCM) and K -means with genetic algorithm, were used to identify the homogeneous regions in terms of groundwater water quality…”
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Medical Data Clustering and Classification Using TLBO and Machine Learning Algorithms by Kumar Dubey, Ashutosh, Gupta, Umesh, Jain, Sonal

“… In the first phase, the clustering (k-means and FCM) algorithms were employed independently and the clustering accuracy was evaluated using different computational measures…”
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A novel fuzzy system-based genetic algorithm for trajectory segment generation in urban global positioning system by Ran, Xiaojuan, Suyaroj, Naret, Tepsan, Worawit, Lei, Mu, Ma, Hongjiang, Zhou, Xiangbing, Deng, Wu

“…[Display omitted] •Fuzzy-controlled dynamic adjustment of crossover/mutation in trajectory clustering evolution enables adaptive search strategies…”
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An improved fuzzy C-Means algorithm for power load characteristics classification by Zhou, Kai-Le, Yang, Shan-Lin

“… Meanwhile, the hierarchical clustering method, K-Means algorithm and traditional FCM algorithm are also used for power load classification…”
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Probing single-tumor cell interactions with different-age type I collagen networks by synchrotron-based Fourier transform infrared microspectroscopy by Guilbert, Marie, Eklouh-Molinier, Christophe, Wehbe, Katia, Sulé-Suso, Josep, Yang, Ying, Cinque, Gianfelice, Jeannesson, Pierre, Sockalingum, Ganesh D

“… I collagen networks. Spectral images were analyzed with k-means and fuzzy C-means (FCM) clustering algorithms…”
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A Novel Unsupervised Feature Selection for High-Dimensional Data Based on FCM and k-Nearest Neighbor Rough Sets by Xu, Weihua, Zhang, Yang, Qian, Yuhua

“…) and k-nearest neighbor rough sets. FCM is a clustering algorithm grounded in fuzzy theory, which takes into account the inherent data structure and the correlations between different features…”
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A powerful hybrid clustering method based on modified stem cells and Fuzzy C-means algorithms by Taherdangkoo, Mohammad, Bagheri, Mohammad Hadi

“… In this paper, we present a hybrid algorithm based on FCM and modified stem cells algorithms, we called it SC-FCM algorithm, for optimum clustering of a dataset into K clusters…”
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Identification of Homogeneous Rainfall Regimes in Northeast Region of India using Fuzzy Cluster Analysis by Goyal, Manish Kumar, Gupta, Vivek

“…Regionalization methods are often used in hydrology for frequency analysis of floods. The hydrologically homogeneous regions should be determined using cluster…”
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A critical appraisal of heterogeneity in Obsessive-Compulsive Disorder using symptom-based clustering analysis by Hasanpour, Hesam, Asadi, Sareh, Ghavamizadeh Meibodi, Ramak, Daraeian, Azin, Ahmadiani, Abolhassan, Shams, Jamal, Navi, Keivan

“…) checklist explaining OCD heterogeneity. Five different clustering algorithms (FCM, K-means, Ward, Ward…”
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Transfer Prototype-Based Fuzzy Clustering by Zhaohong Deng, Yizhang Jiang, Fu-Lai Chung, Shitong Wang, Kup-Sze Choi, Hisao Ishibuchi

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Statistical Clustering Algorithm of Wild Animal Growth Environment by Pan, Lijing

“… Therefore, it is quite necessary to carry out research on the statistical clustering algorithm of the environment for the growth of wild animals…”
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Algorithmic clustering of LiDAR point cloud data for textural damage identifications of structural elements by Hou, Tsung-Chin, Liu, Jen-Wei, Liu, Yu-Wei

“…) were used for clustering analysis. Four data clustering algorithms, k-means (KM), fuzzy c-means (FCM), subtractive clustering…”
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Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis by Dash, Manoranjan, Londhe, Narendra D., Ghosh, Subhojit, Shrivastava, Vimal K., Sonawane, Rajendra S.

“…•Implementation of swarm intelligence algorithms to obtain optimum clusters.•Effective psoriasis lesion detection using four swarm intelligence techniques…”
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Sample-weighted clustering methods by Yu, Jian, Yang, Miin-Shen, Lee, E. Stanley

“… Such method can generate the sample-weighted versions of most clustering algorithms, such as k -means, fuzzy c -means (FCM) and expectation & maximization (EM), etc…”
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Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms by Bayrak, Şengül, Moonis, Majaz, Cattani, Carlo, Karaca, Yeliz

“… Recently, K-means and fuzzy C means (FCM) algorithms have been applied in literature with many datasets…”
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LDA-Based Clustering Algorithm and Its Application to an Unsupervised Feature Extraction by Li, Cheng-Hsuan, Kuo, Bor-Chen, Lin, Chin-Teng

“… In this study, we propose a clustering algorithm based on both within- and between-cluster scatter matrices, extended from linear discriminant analysis (LDA…”
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Clustering and Smoothing Pipeline for Management Zone Delineation Using Proximal and Remote Sensing by Javadi, S. Hamed, Guerrero, Angela, Mouazen, Abdul M.

“… In this paper, we evaluated the performances of five clustering algorithms including k-means, fuzzy C-means (FCM…”
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