A Hybrid Clustering Approach Based on Fuzzy Logic and Evolutionary Computation for Anomaly Detection

A Hybrid Clustering Approach Based on Fuzzy Logic and Evolutionary Computation for Anomaly Detection

In this study, a new approach for novelty and anomaly detection, called HPFuzzNDA, is introduced. It is similar to the Possibilistic Fuzzy multi-class Novelty Detector (PFuzzND), which was originally developed for data streams. Both algorithms initially use a portion of labelled data from known clas...

Full description

Bibliographic Details
Main Authors: Shakhnaz Akhmedova, Vladimir Stanovov, Yukihiro Kamiya
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Algorithms
Subjects:
anomaly detection
novelty detection
fuzzy clustering
evolutionary computation
classification
Online Access:https://www.mdpi.com/1999-4893/15/10/342

Similar Items

Similar Items