Suchergebnisse - Gaussian clustering algorithm

A Novel Hybrid PSO-K-Means Clustering Algorithm Using Gaussian Estimation of Distribution Method and Lévy Flight von Gao, Hanjie, Li, Yintong, Kabalyants, Petr, Xu, Hao, Martinez-Bejar, Rodrigo

“… However, many partitioning based clustering algorithms are sensitive to the initial state of cluster centroids, may get trapped in a local optimum, and have poor robustness …”
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A robust EM clustering algorithm for Gaussian mixture models von Yang, Miin-Shen, Lai, Chien-Yo, Lin, Chih-Ying

“… To resolve these drawbacks of the EM, we develop a robust EM clustering algorithm for Gaussian mixture models, first creating a new way to solve these initialization problems …”
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Distance and density based clustering algorithm using Gaussian kernel von Güngör, Emre, Özmen, Ahmet

“… •The new algorithm uses Gaussian kernel and distances to form clusters.•The new approach does not require any special parameters prior to run …”
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Towards the Development of Gaussian Clustering Algorithm Technology to Extend the Lifetime of MANETs von Gatea, Ali Noori, Hashim, Haider Sh, Al-Asadi, Hamid Ali Abed, Tureli, Didem Kivanc, Abduljabbar, Zaid Ameen, Nyangaresi, Vincent Omollo

“… The proposed MANET performance optimization technique is Gaussian clustering …”
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Image clustering algorithm using superpixel segmentation and non-symmetric Gaussian–Cauchy mixture model von Ji, Sifan, Zhu, Hongqing, Wang, Pengyu, Ling, Xiaofeng

“… In this study, an unsupervised clustering algorithm is proposed to label superpixel density images …”
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Robust Gaussian-base radial kernel fuzzy clustering algorithm for image segmentation von Mújica-Vargas, Dante, Carvajal-Gámez, Blanca, Ochoa, Genaro, Rubio, José

“… To perform the image segmentation task, in this Letter, a kernel fuzzy C-means algorithm is introduced, strengthened by a robust Gaussian radial basis function kernel based on M-estimators …”
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Fault Prognostics for Photovoltaic Inverter Based on Fast Clustering Algorithm and Gaussian Mixture Model von He, Zhenyu, Zhang, Xiaochen, Liu, Chao, Han, Te

“… Then, the fast clustering algorithm was used to search the center inverter of each sampling time from the feature …”
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Gaussian mixture model clustering algorithms for the analysis of high-precision mass measurements von Weber, C.M., Ray, D., Valverde, A.A., Clark, J.A., Sharma, K.S.

“… The development of the phase-imaging ion-cyclotron resonance (PI-ICR) technique for use in Penning trap mass spectrometry (PTMS) increased the speed and …”
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Anisotropic-Gaussian-Kernel-Based Fuzzy Clustering Algorithm for Feature Selection von Liu, Jun, Wu, Mengyuan, Lin, Mingwei, Xu, Zeshui

“… Soft clustering algorithms based on fuzzy C-means (FCM) have been extensively applied to complex data analysis …”
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Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification von Yanping, Hang, Haixia, Zheng, Minmin, Yang, Nan, Wang, Miaomiao, Kong, Mingming, Zhao

“… ) clustering using a Gaussian kernel function. The algorithm enhances cancer detection while ensuring data privacy …”
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Differential privacy fuzzy C-means clustering algorithm based on gaussian kernel function von Zhang, Yaling, Han, Jin

“… Fuzzy C-means clustering algorithm is one of the typical clustering algorithms in data mining applications …”
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A clustering algorithm for overlapping Gaussian mixtures von Economou, Polychronis

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Improved rough k-means clustering algorithm based on weighted distance measure with Gaussian function von Zhang, Tengfei, Ma, Fumin

“… Rough k-means clustering algorithm and its extensions are introduced and successfully applied to real-life data where clusters do not necessarily have crisp boundaries …”
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Adaptive Density Peak Clustering Algorithm Based on Gaussian Distribution von LI Qiwen, WANG Zhihe, DU Hui, LU Depeng

“… The Density Peak Clustering (DPC) algorithm excels in diverse fields, is adept at identifying clusters of any shape, and is noise-resistant …”
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A Deep Clustering Algorithm based on Gaussian Mixture Model von Lin, Xianghong, Yang, Xiaofei, Li, Ying

“… The effect of ordinary clustering algorithms is not good to cluster high-dimensional data. In this paper, we propose a deep clustering algorithm based on Gaussian mixture …”
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A Probabilistic Distance Clustering Algorithm Using Gaussian and Student-t Multivariate Density Distributions von Tortora, Cristina, McNicholas, Paul D., Palumbo, Francesco

“… A new dissimilarity measure for cluster analysis is presented and used in the context of probabilistic distance (PD) clustering …”
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Gaussian mixture model clustering algorithms for the analysis of high-precision mass measurements von Weber, C. M., Ray, D., Valverde, A. A., Clark, J. A., Sharma, K. S.

“… The development of the phase-imaging ion-cyclotron resonance (PI-ICR) technique for use in Penning trap mass spectrometry (PTMS) increased the speed and …”
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Gaussian-kernel c-means clustering algorithms von Chang-Chien, Shou-Jen, Nataliani, Yessica, Yang, Miin-Shen

“… ) and fuzzy c -means (FCM) are the most known clustering algorithms. However, these HCM and FCM algorithms work worse for data sets in a noisy environment and get inaccuracy when the data set has different shape clusters …”
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Local contextual information and Gaussian function induced fuzzy clustering algorithm for brain MR image segmentation and intensity inhomogeneity estimation von Mahata, Nabanita, Kahali, Sayan, Adhikari, Sudip Kumar, Sing, Jamuna Kanta

“… •A Fuzzy clustering algorithm using local contextual information and Gaussian function is devised for bias field and brain MR image segmentation …”
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An improved clustering algorithm based on finite Gaussian mixture model von He, Zhilin, Ho, Chun-Hsing

“… In the clustering analysis based on the FGMM, the EM algorithm is usually used to estimate the parameters of the model …”
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