Suchergebnisse - Maximum entropy clustering algorithm*

Density-sensitive fuzzy kernel maximum entropy clustering algorithm von Tao, Xinmin, Wang, Ruotong, Chang, Rui, Li, Chenxi

“… Maximum entropy clustering algorithm (ME) has lately received great attention for its high performance in large-scale data clustering and simplicity in implementation …”
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Construction of Soft Computing Anomaly Detection Model Based on Independence Criteria and Maximum Entropy Clustering Algorithm von Liang, Chunhua

“… In order to improve the accuracy and reliability of anomaly detection, this paper proposes an improved soft computing anomaly detection model based on independence criterion and maximum entropy clustering algorithm …”
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Anomaly Detection Using Maximum Entropy Fuzzy Clustering Algorithm Enhanced with Soft Computing Techniques von Liang, Chunhua

“… In view of the maximum entropy fuzzy clustering algorithm, an anomaly detection method combining soft computing is proposed …”
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Application of Maximum Entropy Fuzzy Clustering Algorithm with Soft computing in Migration Anomaly Detection von Liang, Chunhua

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Fuzzy Linear Discriminant Analysis-guided maximum entropy fuzzy clustering algorithm von Zhi, Xiao-bin, Fan, Jiu-lun, Zhao, Feng

“… ) is a classical unsupervised learning algorithm for clustering. Based on the analysis of the relationship between LDA and HCM, Linear Discriminant Analysis-guided adaptive subspace hard c-means clustering algorithm (LDA–HCM) had been proposed. LDA …”
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Maximum Entropy Clustering Algorithm Based on Partition Fusion and View-weighting von ZHANG Dandan,DENG Zhaohong,JIANG Yizhang,WANG Shitong

“… Aiming at the limitation to effectively realize the view fusion in the multi-view clustering task for Maximum Entropy Clustering(MEC …”
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A clustering algorithm based on maximum entropy principle von Zhao, Yang, Liu, Fangai

“… Aiming at the shortcomings of clustering performance of many traditional text clustering methods, a clustering algorithm based on maximum entropy principle is proposed …”
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Robust maximum entropy clustering algorithm with its labeling for outliers von Shitong, Wang, Chung, Korris F.L., Zhaohong, Deng, Dewen, Hu, Xisheng, Wu

“… In this paper, a novel robust maximum entropy clustering algorithm RMEC, as the improved version of the maximum entropy algorithm MEC [2–4 …”
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Chaos control of ferroresonance system based on RBF-maximum entropy clustering algorithm von Fan, Liu, Cai-xin, Sun, Wen-xia, Si-ma, Rui-jin, Liao, Fei, Guo

“… With regards to the ferroresonance overvoltage of neutral grounded power system, a maximum-entropy learning algorithm based on radial basis function neural networks is used to control the chaotic system …”
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A proof of the convergence theorem of maximum-entropy clustering algorithm von Ren, ShiJun, Wang, YaDong

“… This means that the example cannot negate the convergence theorem of maximum entropy clustering algorithm …”
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Entropy-Based Fuzzy C-Ordered-Means Clustering Algorithm von Moradi, Mona, Hamidzadeh, Javad

“… Fuzzy C -Means is a well-known fuzzy clustering technique. Although FCM can cover the uncertainty problem by forming overlapping clusters, it involves issues …”
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Modified Grey Wolf Optimizer based Maximum Entropy Clustering Algorithm von Cai, Jia, Xu, Guanglong, Ye, Wenwen

“… In this paper, we propose a new maximum entropy clustering algorithm by modified grey wolf optimizer (GWO …”
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Early-Warning Model of Financial Crisis: An Empirical Study Based on partnering of Biotech firms in china von Li, Junjing

“… The financial crisis is classified based on a maximum entropy clustering algorithm to overcome the overfitting problem …”
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MECA: maximum entropy clustering algorithm von Karayiannis, N.B.

“… This paper presents a new approach to fuzzy clustering, which provides the basis for the development of the maximum entropy clustering algorithm (MECA …”
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Counterexamples to convergence theorem of maximum-entropy clustering algorithm von YU, Jian

“… In this paper, we surveyed the development of maximum-entropy clustering algorithm, pointed out that the maximum-entropy clustering algorithm is not new in essence, and constructed two examples …”
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An improved algorithm for support vector clustering based on maximum entropy principle and kernel matrix von Guo, Chonghui, Li, Fang

“… ► We present an improved SVC algorithm support vector clustering based on maximum entropy principle and kernel matrix …”
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Maximum-entropy clustering algorithm and its global convergence analysis von Zhang, Zhihua, Zheng, Nanning, Shi, Gang

“… TP1; Constructing a batch of differentiable entropy functions touniformly approximate an objective function by means of the maximum-entropy principle, a new clustering algorithm, called maximum-entropy …”
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Maximum Weighted Entropy Clustering Algorithm von Li Lao, Xiaoming Wu, Lingpeng Cheng, Xuefeng Zhu

“… Combining with the conception of minimum spanning tree in graph theory and with entropy in information theory, a new algorithm is proposed for clustering …”
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Improved Kernel-based Fuzzy Clustering Algorithm Based on Maximum Tsallis Entropy von Fang, Zheng, Zhu, Kunping

“… This paper proposes an improved kernel-based fuzzy clustering algorithm based on maximum Tsallis entropy (MTE-IKFC …”
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Counterexamples to convergence theorem of maximum-entropy clustering algorithm

“… O1; In this paper, we surveyed the development of maximum-entropy clustering algorithm, pointed out that the maximum-entropy clustering algorithm is not new in essence, and constructed two examples …”
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