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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The Mongolian Vowel Acoustic Model Based on the Clustering Algorithm by Wujisguleng

“…In order to solve the problem of vowel acoustic modeling in the Mongolian language and provide more scientific core technical support for speech recognition system, a vowel acoustic model based…”
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Automatic summarization model based on clustering algorithm by Dai, Wenzhuo, He, Qing

“… To alleviate this problem, we propose a model to reduce the semantic redundancy of summary by introducing the cluster algorithm to select difference sentences in semantic space and we improve…”
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A hybrid PSO-SVM model based on clustering algorithm for short-term atmospheric pollutant concentration forecasting by Chen, Shuixia, Wang, Jian-qiang, Zhang, Hong-yu

“… Secondly, we use a clustering algorithm to enhance the regularity of our modelling data. Thirdly, we build a particle swarm optimisation (PSO…”
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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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A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering by Mai, Qing, Zhang, Xin, Pan, Yuqing, Deng, Kai

“…) algorithm to perform clustering under this model. Both the expectation-step and the maximization…”
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Application of Software Data Analysis Model Based on K-Means Clustering Algorithm by Qiu, Wenhai

“…In order to improve the anomaly detection ability of portable multidimensional control software test data, a software test data anomaly detection method based on K-means clustering is proposed…”
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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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A model-based clustering of expectation–maximization and K -means algorithms in crime hotspot analysis by Appiah, Simon Kojo, Wirekoh, Kingsley, Aidoo, Eric Nimako, Oduro, Samuel Dua, Arthur, Yarhands Dissou

“…) algorithm, an iterative process with convergence very sensitive to initializations. In this study, a model-based clustering algorithm is explored from the E-M algorithm…”
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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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A clustering model based on an evolutionary algorithm for better energy use in crop production by Khoshnevisan, Benyamin, Bolandnazar, Elham, Barak, Sasan, Shamshirband, Shahaboddin, Maghsoudlou, Hamid, Altameem, Torki A., Gani, Abdullah

“… In order to differentiate between efficient and inefficient farms, a clustering model based on imperialist competitive algorithm (ICA…”
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Quasi-4-dimensional ionospheric delay model based on clustering algorithms by Gu, Shengfeng, Hu, Jiayu, Zhu, Jiaxi, Wang, Zihao, Gong, Xiaopeng

“… However, as the Q4DIM relies on a uniform gridding algorithm, its grid sizes and numbers are typically set empirically, without fully considering the statistical characteristics and distribution trends of the data…”
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Hammock: a hidden Markov model-based peptide clustering algorithm to identify protein-interaction consensus motifs in large datasets by Krejci, Adam, Hupp, Ted R., Lexa, Matej, Vojtesek, Borivoj, Muller, Petr

“…Motivation: Proteins often recognize their interaction partners on the basis of short linear motifs located in disordered regions on proteins’ surface…”
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A Novel Adaptive Rain-induced Attenuation Model Based on Clustering Algorithm for Commercial Microwave Link-Based Rainfall Inversion by Pu, Kang, Liu, Xichuan, Liu, Lei, Zhao, Yingcheng

“…In this paper, a novel adaptive rain-induced attenuation-rain rate ( A - R ) relationship model is proposed, which is built based on a clustering algorithm…”
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From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images by Huang, Shaoguang, Zhang, Hongyan, Zeng, Haijin, Pižurica, Aleksandra

“… A number of HSI clustering methods have been proposed. Among them, model-based optimization algorithms, which learn the cluster structure of data by solving convex/non…”
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Crowdsourcing Logistics Pricing Optimization Model Based on DBSCAN Clustering Algorithm by Li, Zhichao, Li, Yilin, Lu, Wanchun, Huang, Jilin

“…From the perspective of platform economics, crowdsourcing is a very efficient business model, and the pricing of crowdsourcing tasks is a key factor for the…”
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A Clustering Model Based on Density Peak Clustering and the Sparrow Search Algorithm for VANETs by Wang, Chaoliang, Fu, Qi, Li, Zhaohui

“… To address this issue, we propose a clustering model based on the density peak clustering (DPC) method and sparrow search algorithm…”
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Using evolutionary algorithms for model-based clustering by Andrews, Jeffrey L., McNicholas, Paul D.

“… ► The algorithms mutate the component indicator variables for model-based clustering. ► These algorithms perform favourably with respect to the log-likelihood…”
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An artificial bee colony algorithm for mixture model-based clustering by Culos, Anthony E., Andrews, Jeffrey L., Afshari, Hamid

“…Finite mixture model-based clustering is a popular method to perform unsupervised learning, however the classic approach for parameter estimation, the expectation-maximization algorithm, is quite…”
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Research on School Classroom Teaching Model Based on Clustering Algorithm and Fuzzy Control by Zhang, Fujun, Li, Aichuan, Shi, Jianfei, Wang, Dongxin

“… In this article, clustering algorithm and fuzzy control methods are used to construct a research model of students’ attention in class…”
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