Search Results - "model-based clustering algorithm"

A Modified Mixture Model-Based Clustering Algorithm for Resolving the Problem of Mixed Pixels Available in Satellite Imagery by Sherwani, A. R., Ali, Q. M., Ali, Irfan, Panta, Chom, Volodin, Andrei

“… A modified model-based clustering algorithm is developed by modifying membership function and compared with the traditional model-based clustering algorithm in terms of classification error and brier score…”
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A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification by Relvas, Carlos E M, Nakata, Asuka, Chen, Guoan, Beer, David G, Gotoh, Noriko, Fujita, Andre

“… Thus, we developed CEM-Co, a model-based clustering algorithm that removes/minimizes undesirable covariates' effects during the clustering process…”
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Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran by Yousefi, Mastoureh, Tabatabaei, Seyed Hassan, Rikhtehgaran, Reyhaneh, Pour, Amin Beiranvand, Pradhan, Biswajeet

“… In this research, the Dirichlet Process based on Stick-Breaking (DPSB) model-based clustering algorithm was implemented to hyperion remote sensing imagery to discriminate HAZs associated with the Kuh-Panj porphyry copper deposit, south, Iran…”
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REMOLD: An Efficient Model-Based Clustering Algorithm for Large Datasets with Spark by Liang, Mingfei, Li, Qingyong, Geng, Yangli-ao, Wang, Jianzhu, Wei, Zhi

“…Density-based clustering algorithms have the distinctive advantage of discovering arbitrarily shaped clusters, but they usually require a procedure to compute…”
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DPSB model-based clustering algorithm for mineral mapping in hyperspectral imagery by Yousefi, Mastoureh, Tabatabaei, Seyed Hassan, Pour, Amin Beiranvand, Pradhan, Biswajeet

“…The Dirichlet Process based on Stick-Breaking (DPSB) model-based clustering algorithm was instigated to Hyperion remote sensing imagery to map alteration minerals related to porphyry copper deposit…”
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Data-driven scheduling for smart shop floor via reinforcement learning with model-based clustering algorithm by Li, Yuxin, Gu, Wenbin, Wang, Xianliang, Chen, Zeyu

“…Various information technologies provide the manufacturing system massive data, which can support the decision optimization of product lifecycle management…”
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Stage I non-small cell lung cancer stratification by using a model-based clustering algorithm with covariates by Relvas, Carlos, Fujita, André

“… In this context, to stratify stage I NSCLC, we propose CEM-Co, a model-based clustering algorithm that removes/minimizes the effects of undesirable…”
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Comparison of clustering algorithms on generalized propensity score in observational studies: a simulation study by Tu, Chunhao, Jiao, Shuo, Koh, Woon Yuen

“…In observational studies, unbalanced observed covariates between treatment groups often cause biased inferences on the estimation of treatment effects…”
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A robust Hidden Markov Model based clustering algorithm by Shitong Yao

“…Hidden Markov models (HMMs) are widely employed in sequential data modeling both because they are capable of handling multivariate data of varying length, and…”
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A Gaussian Mixture Model-based clustering algorithm for image segmentation using dependable spatial constraints by Weiling Cai, Lei Lei, Ming Yang

“…In this paper, a Gaussian Mixture Model-based clustering algorithm using dependable spatial constraints is proposed for image segmentation…”
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Rotation invariant face detection using a model-based clustering algorithm by Byeong Hwan Jeon, Sang Uk Lee, Kyung Mu Lee

“…We present a model-based clustering algorithm for locating frontal views of human faces with in-plane rotation in complex scenes, which can describe the arbitrary shape of the distributions…”
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Genomic patterns of homozygosity in worldwide human populations by Pemberton, Trevor J, Absher, Devin, Feldman, Marcus W, Myers, Richard M, Rosenberg, Noah A, Li, Jun Z

“…) in 1,839 individuals representing 64 worldwide populations, classifying them by length into three classes-short, intermediate, and long-with a model-based clustering algorithm…”
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A Product Partition Model With Regression on Covariates by Müller, Peter, Quintana, Fernando, Rosner, Gary L.

“… In other words, we develop a model-based clustering algorithm that exploits available covariates…”
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Model Based Clustering Algorithms with Applications by Wei, Wutao

“…In machine learning predictive area, unsupervised learning will be applied when the labels of the data are unavailable, laborious to obtain or with limited…”
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Model-based clustering for multivariate functional data by Jacques, Julien, Preda, Cristian

“…The first model-based clustering algorithm for multivariate functional data is proposed…”
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Wavelet‐Based Clustering for Mixed‐Effects Functional Models in High Dimension by Giacofci, M, Lambert‐Lacroix, S, Marot, G, Picard, F

“…We propose a method for high‐dimensional curve clustering in the presence of interindividual variability. Curve clustering has longly been studied especially…”
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BAMM at the court of false equivalency: A response to Meyer and Wiens by Rabosky, Daniel L.

“… The program implements a model-based clustering algorithm to identify clades that share common macroevolutionary rate dynamics and to estimate parameters…”
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EGMM: An evidential version of the Gaussian mixture model for clustering by Jiao, Lianmeng, Denœux, Thierry, Liu, Zhun-ga, Pan, Quan

“… In this paper, we propose a new model-based clustering algorithm, called EGMM (evidential GMM), in the theoretical framework of belief functions to better characterize cluster-membership uncertainty…”
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Clustering multivariate functional data using unsupervised binary trees by Golovkine, Steven, Klutchnikoff, Nicolas, Patilea, Valentin

“…•An effective model-based clustering algorithm for multivariate functional data.•The algorithm is recursive and based on a set of binary trees…”
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Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data by Osabe, Takayuki, Shimizu, Kentaro, Kadota, Koji

“…). In this study, we report that a model-based clustering algorithm implemented in an R package, MBCluster.Seq, can also be used for DE analysis…”
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