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Outlier Detection via Parsimonious Mixtures of Contaminated Gaussian Distributions
Mixture models Model-based classification EM algorithm Contaminated Gaussian distribution Outlier detection Robust estimates Trimmed clustering
2013/6/14
For multivariate continuous data, the contaminated Gaussian distribution - having two parameters indicating the proportion of outliers and the degree of contamination - represents a convenient and nat...
Outlier Detection in Contingency Tables based on Minimal Patterns
Robust estimators Loglinear models Minimal patterns.
2012/9/19
In this paper we introduce a new technique for the detection of outliers in contingency tables. Outliers are defined with respect to classical loglinear
Poisson models. For the computations, we defin...
Outlier detection and trimmed estimation in general functional spaces
Abstract Inference Data depth Outlier detection Robust statistics Stochastic processes
2010/3/9
This article introduces trimmed estimators for the mean and covariance functional
of data in general Hilbert spaces. The estimators are based on a data depth measure
that can be computed on any Hilb...
Graphical display in outlier diagnostics：adequacy and robustness
Masking outlier robust diagnostics robust residuals swamping
2009/2/23
Outlier robust diagnostics (graphically) using Robustly Studentized Robust Residuals (RSRR) and
Partial Robustly Studentized Robust Residuals (PRSRR) are established. One problem with some
robust re...
用SVM方法研究one-class和outlier问题.在将one-class问题理解为一种函数估计问题的基础上，作者首次定义了η-one-class和η-outlier问题的泛化错误，进而定义了线性可分性和边缘，得到了求解one-class问题的最大边缘、软边缘和ν-软边缘算法.这些学习算法具有统计学习理论依据并可归结为求解线性规划问题.算法的实现采用与boosting类似的思路.实验结果表明该...
期刊信息
篇名
A High Performance Outlier Detection Method for large data sets
语种
英文
撰写或编译
作者
Ge Yu,Huanliang Sun,Yubin Bao,Daling Wang
第一作者单位
刊物名称
Journal of Web Engineering (accepted)
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