Search Results - iterative local Gaussian clustering algorithm

Hybrid PCA-ILGC clustering approach for high dimensional data by Musdholifah, A., Hashim, S. Z. M., Ngah, R.

“… Iterative Local Gaussian Clustering (ILGC) is a simple density based clustering technique that has successfully…”
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A new iterative initialization of EM algorithm for Gaussian mixture models by You, Jie, Li, Zhaoxuan, Du, Junli

“…The expectation maximization (EM) algorithm is a common tool for estimating the parameters of Gaussian mixture models (GMM…”
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Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering by Wu, Chong, Zheng, Jiangbin, Feng, Zhenan, Zhang, Houwang, Zhang, Le, Cao, Jiawang, Yan, Hong

“…), which adopts a local spatial fuzzy C-means clustering and dynamic fuzzy superpixels. We develop a fast and precise superpixel number control algorithm called onion peeling (OP) algorithm…”
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Genetic-based EM algorithm for learning Gaussian mixture models by Pernkopf, F., Bouchaffra, D.

“…We propose a genetic-based expectation-maximization (GA-EM) algorithm for learning Gaussian mixture models from multivariate data…”
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Non-iterative border-peeling clustering algorithm based on swap strategy by Tu, Hui, Ding, Shifei, Xu, Xiao, Hou, Haiwei, Li, Chao, Ding, Ling

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Content-Caching-Oriented Popularity Forecast and User Clustering by Wang, Yitu, Chen, Qi, Wang, Wei, Nakachi, Takayuki, Zhang, Guangchen, Liou, Juinjei

“… Different from most of the existing literature that concentrating on enhancing the forecast accuracy, we tailor the popularity forecast and user clustering algorithms for improving the caching performance…”
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A fast and efficient Modal EM algorithm for Gaussian mixtures by Scrucca, Luca

“… The Modal Expectation‐Maximization (MEM) algorithm is an iterative procedure that can identify the local maxima of any density function…”
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Regularized EM Algorithm by Houdouin, Pierre, Ollila, Esa, Pascal, Frederic

“…Expectation-Maximization (EM) algorithm is a widely used iterative algorithm for computing (local…”
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TSPol-ASLIC: Adaptive Superpixel Generation With Local Iterative Clustering for Time-Series Quad- and Dual-Polarization SAR Data by Gao, Han, Wang, Changcheng, Xiang, Deliang, Ye, Jiawei, Wang, Guanya

“… In this article, an adaptive time-series PolSAR superpixel generation method based on the simple local iterative clustering (SLIC…”
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An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions by Zhang, Jiangjiang, Lin, Guang, Li, Weixuan, Wu, Laosheng, Zeng, Lingzao

“… Alternatively, we propose in this paper a very simple and efficient algorithm, i.e., the iterative local updating ensemble smoother (ILUES…”
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Iterative Gaussian mixture model and multi‐channel attributes for arrival picking in extremely noisy environments by Wang, Hang, Chen, Yangkang

“… the variable clustering boundaries) based on an iterative Gaussian mixture model and utilize the local correlation among adjacent traces to enhance the anti‐noise ability…”
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IDENTIFYING THE NUMBER OF COMPONENTS IN GAUSSIAN MIXTURE MODELS USING NUMERICAL ALGEBRAIC GEOMETRY by Shirinkam, Sara, Alaeddini, Adel, Gross, Elizabeth

“… The parameters for a Gaussian mixture model are typically estimated from training data using the iterative expectation-maximization algorithm, which requires the number of Gaussian components a priori…”
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KNN-kernel based clustering for spatio-temporal database by Musdholifah, Aina, Hashim, Siti Zaiton Bt Mohd, Wasito, Ito

“… This paper presents Iterative Local Gaussian Clustering (ILGC), an algorithm that combines K-nearest neighbour (KNN…”
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Enhancing deep learning pre-trained networks on diabetic retinopathy fundus photographs with SLIC-G by Lim, Wei Xiang, Chen, Zhiyuan

“… In this work, we propose a hybrid image processing method. Simple Linear Iterative Clustering with Gaussian Filter (SLIC-G…”
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A new iterative initialization of EM algorithm for Gaussian mixture models by Jie You, Zhaoxuan Li, Junli Du

“…Background The expectation maximization (EM) algorithm is a common tool for estimating the parameters of Gaussian mixture models (GMM…”
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Combining Global-Constrained Concept Factorization and a Regularized Gaussian Graphical Model for Clustering Single-Cell RNA-seq Data by Xu, Yaxin, Zhang, Wei, Zheng, Xiaoying, Cai, Xianxian

“… of the available scRNA-seq data, accurately clustering the scRNA-seq data for downstream analysis is a significant challenge…”
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A variational level set model combining with local Gaussian fitting and Markov random field regularization by Ren, Yanjun, Tang, Liming, Zhang, Honglu, Zheng, Jie

“… probability of the corrected smooth image. In the model, the likelihood function of the observation is computed under the assumption that the observed image obeys the local Gaussian distribution with both varying means and variances…”
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Density peaks clustering based on Gaussian fuzzy neighborhood with noise parameter by Waqas, Syed Muhammad, Khan, Sumra, Talpur, Kashif, Khan, Rizwan Ahmed

“…Density peak clustering (DPC) is an effective clustering method known for its robustness, non-iterative nature, and hybrid approach…”
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Multi-Sensor Information Fusion by Gao, Yuan, Jin, Xue-Bo

“…This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of…”
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Robust Semisupervised Kernelized Fuzzy Local Information C-Means Clustering for Image Segmentation by Zhang, Shaoyu, Li, Yawen, Wu, Chengmao, Yang, Yao

“… Meanwhile, the local Gaussian kernel function is used to map the pixel samples from the Euclidean space to the high-dimensional feature space so that the…”
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