Suchergebnisse - K‐FCM clustering algorithm

A highly efficient framework for outlier detection in urban traffic flow von 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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An improved fuzzy C-Means algorithm for power load characteristics classification von 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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Comparison of K-means and FCM algorithms to optimize spatiotemporal pore pressure prediction of earth dams von 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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Transfer Prototype-Based Fuzzy Clustering von Zhaohong Deng, Yizhang Jiang, Fu-Lai Chung, Shitong Wang, Kup-Sze Choi, Hisao Ishibuchi

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Effective FCM noise clustering algorithms in medical images von 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 von 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 von 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 von 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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Probing single-tumor cell interactions with different-age type I collagen networks by synchrotron-based Fourier transform infrared microspectroscopy von 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 von 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 von 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 von 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 von 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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Statistical Clustering Algorithm of Wild Animal Growth Environment von 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 von 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 von 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 von 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 von 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 von 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 von 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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