Representative subset selection and outlier detection via isolation forest-Reference-Cited by-同舟云学术

Representative subset selection and outlier detection via isolation forest

Published:2016 Issue:39 Volume:8 Page:7225-7231
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Chen Wo-Ruo¹²³⁴,Yun Yong-Huan¹²³⁴,Wen Ming¹²³⁴,Lu Hong-Mei¹²³⁴,Zhang Zhi-Min¹²³⁴,Liang Yi-Zeng¹²³⁴

Affiliation:

1. College of Chemistry and Chemical Engineering

2. Central South University

3. Changsha 410083

4. China

Abstract

A new algorithm, Isolation forest Outlier detection and Subset selection (IOS), has been proposed, which can simultaneously detect outliers and select representative subsets.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/AY/C6AY01574C

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