raff淫雨霏霏 发表于 2025-3-21 18:38:27

书目名称New Developments in Unsupervised Outlier Detection影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0665046<br><br>        <br><br>书目名称New Developments in Unsupervised Outlier Detection影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0665046<br><br>        <br><br>书目名称New Developments in Unsupervised Outlier Detection网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0665046<br><br>        <br><br>书目名称New Developments in Unsupervised Outlier Detection网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0665046<br><br>        <br><br>书目名称New Developments in Unsupervised Outlier Detection被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0665046<br><br>        <br><br>书目名称New Developments in Unsupervised Outlier Detection被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0665046<br><br>        <br><br>书目名称New Developments in Unsupervised Outlier Detection年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0665046<br><br>        <br><br>书目名称New Developments in Unsupervised Outlier Detection年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0665046<br><br>        <br><br>书目名称New Developments in Unsupervised Outlier Detection读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0665046<br><br>        <br><br>书目名称New Developments in Unsupervised Outlier Detection读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0665046<br><br>        <br><br>

Chronological 发表于 2025-3-22 00:19:09

978-981-15-9521-9Xi‘an Jiaotong University Press 2021

上涨 发表于 2025-3-22 03:13:32

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我们的面粉 发表于 2025-3-22 07:52:11

https://doi.org/10.1007/978-981-15-9519-6Unsupervised Outlier Detection; Distance-Based Outlier Detection; Density-Based Outlier Detection; k-Ne

colony 发表于 2025-3-22 12:43:33

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osteocytes 发表于 2025-3-22 13:29:26

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DOTE 发表于 2025-3-22 18:42:07

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buoyant 发表于 2025-3-22 22:17:59

A ,-Nearest Neighbour Spectral Clustering-Based Outlier Detection Techniquef .-nearest neighbors and spectral clustering techniques to obtain the abnormal data as outliers by using the information of eigenvalues in the feature space statistically. We compare the performance of the proposed method with state-of-the-art outlier detection methods. Experimental results show th

通知 发表于 2025-3-23 03:37:09

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llibretto 发表于 2025-3-23 06:31:19

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查看完整版本: Titlebook: New Developments in Unsupervised Outlier Detection; Algorithms and Appli Xiaochun Wang,Xiali Wang,Mitch Wilkes Book 2021 Xi‘an Jiaotong Uni