An Extended Modified Fuzzy Possibilistic C-Means Clustering Algorithm for Intrusion Detection

Lecture Notes on Software Engineering
doi 10.7763/lnse.2013.v1.60
Full Text
Abstract

Available in full text

Date
Authors
Publisher

EJournal Publishing

Related search

A Density Maximization-Fuzzy Means Clustering Algorithm for Network Intrusion Detection

Journal of Engineering and Applied Sciences
Engineering
2019English

Intrusion Detection Systems Data Classification by Possibilistic C-Means Method

Journal of Engineering and Applied Sciences
Engineering
2019English

Ameliorate Fuzzy C-Means: An Ameliorate Fuzzy C-Means Clustering Algorithm for Ct-Lung Image Segmentation

American Journal of Applied Sciences
Multidisciplinary
2013English

Anomaly Based Intrusion Detection Using Modified Fuzzy Clustering

International Journal of Interactive Multimedia and Artificial Intelligence
2017English

Enhancement of Fuzzy Possibilistic C-Means Algorithm Using EM Algorithm (EMFPCM)

International Journal of Computer Applications
2013English

Fuzzy C-Means Clustering Algorithm for Brain Tumor Segmentation

International Journal of Advanced Research in Computer Science and Software Engineering
2017English

Multiple Fuzzy C-Means Clustering Algorithm in Medical Diagnosis

Technology and Health Care
Information SystemsHealth InformaticsBiomaterialsMedicineBioengineeringBiophysicsBiomedical Engineering
2015English

The Application of Fuzzy Clustering Number Algorithm in Network Intrusion Detection

2013English

An Efficient Hybrid Clustering-Pso Algorithm for Anomaly Intrusion Detection

Journal of Software
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy