MS2OD: outlier detection using minimum spanning tree and medoid selection

Author:

Li Jia,Li Jiangwei,Wang ChenxuORCID,Verbeek Fons JORCID,Schultz TanjaORCID,Liu HuiORCID

Abstract

Abstract As an essential task in data mining, outlier detection identifies abnormal patterns in numerous applications, among which clustering-based outlier detection is one of the most popular methods for its effectiveness in detecting cluster-related outliers, especially in medical applications. This article presents an advanced method to extract cluster-based outliers by employing a scaled minimum spanning tree (MST) data structure and a new medoid selection method: 1. we compute a scaled MST and iteratively cut the current longest edge to obtain clusters; 2. we apply a new medoid selection method, considering the noise effect to improve the quality of cluster-based outlier identification. The experimental results on real-world data, including extensive medical corpora and other semantically meaningful datasets, demonstrate the wide applicability and outperforming metrics of the proposed method.

Funder

Universität Bremen

Natural Science Basic Research Program of Shaanxi Province

National Natural Science Foundation of China

Publisher

IOP Publishing

Reference53 articles.

1. Outlier detection using iterative adaptive mini-MST generation with applications on medical data;Li;Front. Physiol.,2023

2. How long are various types of daily activities? Statistical analysis of a multimodal wearable sensor-based human activity dataset;Liu,2022

3. Using generative adversarial networks for improving classification effectiveness in credit card fraud detection;Fiore;Inf. Sci.,2019

4. Fraudetector: a graph-mining-based framework for fraudulent phone call detection;Tseng,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3