Semiparametric Clustering: A Robust Alternative to Parametric Clustering

Binbin Pan; Huaiqin Dong; Wen-Sheng Chen; Chen Xu

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Semiparametric Clustering: A Robust Alternative to Parametric Clustering

机译：半参数聚类：参数聚类的可靠替代

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摘要

Clustering aims at naturally grouping the data according to the underlying data distribution. The data distribution is often estimated using a parametric or nonparametric model, e.g., Gaussian mixture or kernel density estimation. Compared with nonparamet

机译：聚类旨在根据基础数据分布对数据进行自然分组。通常使用参数或非参数模型来估计数据分布，例如，高斯混合或核密度估计。与非参数相比

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来源
《Neural Networks and Learning Systems, IEEE Transactions on》 |2019年第9期|2583-2597|共15页
作者
Binbin Pan; Huaiqin Dong; Wen-Sheng Chen; Chen Xu;
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作者单位

College of Mathematics and Statistics Shenzhen University Shenzhen China;

Institute of Intelligent Co;

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原文格式 PDF
正文语种 eng
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关键词
Clustering algorithms; Data models; Kernel; Parametric statistics; Robustness; Mixture models; Shape;

机译：聚类算法;数据模型;核心;参数统计;坚固性混合模型;形状;

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专利

1. Parametric and semiparametric model-based estimates of the finite population mean for two-stage cluster samples with item nonresponse [J] . Yuan Y, Little RJA Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2007,第4期

机译：基于参数和半参数模型的两阶段群集样本项均无响应的有限总体均值估计
2. Semiparametric Bayesian joint modeling of clustered binary and continuous outcomes with informative cluster size in developmental toxicity assessment [J] . Hwang Beom Seuk, Pennell Michael L. Environmetrics . 2018,第07期

机译：发育毒性评估中信息量大的聚类二元和连续结果的半参数贝叶斯联合建模
3. Model selection for semiparametric marginal mean regression accounting for within‐cluster subsampling variability and informative cluster size [J] . Shen Chung‐Wei, Chen Yi‐Hau Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2018,第3期

机译：半导体边际平均回归算法的模型选择，用于群集内采样可变性和信息丰富的集群大小
4. From Alternative Clustering to Robust Clustering and Its Application to Gene Expression Data [C] . Peter Peng, Mohamad Nagi, Omer Sair, Intelligent data engineering and automated learning-IDEAL 2011 . 2011

机译：从替代聚类到鲁棒聚类及其在基因表达数据中的应用
5. Robust Analysis of Non-Parametric Space-Time Clustering [D] . Huang, Xin. 2018

机译：非参数时空聚类的鲁棒性分析
6. A non-parametric Bayesian model for joint cell clustering and cluster matching: identification of anomalous sample phenotypes with random effects [O] . Murat Dundar, Ferit Akova, Halid Z Yerebakan, 2014

机译：用于联合细胞聚类和聚类匹配的非参数贝叶斯模型：识别具有随机效应的异常样本表型
7. FR-Match: Robust matching of cell type clusters from single cell RNA sequencing data using the Friedman-Rafsky non-parametric test [O] . Yun Zhang, Brian D. Aevermann, Trygve E. Bakken, 2020

机译：FR-rame：使用Friedman-Rafsky非参数测试从单细胞RNA测序数据中的细胞类型簇的鲁棒匹配

Semiparametric Clustering: A Robust Alternative to Parametric Clustering

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