Unsupervised Text Feature Selection Technique Based on Particle Swarm Optimization Algorithm for Improving the Text Clustering

doi 10.4108/eai.27-2-2017.152282
Full Text
Abstract

Available in full text

Date
Authors
Publisher

EAI

Related search

A New Unsupervised Feature Selection Method for Text Clustering Based on Genetic Algorithms

Journal of Intelligent Information Systems
Information SystemsComputer NetworksHardwareCommunicationsArchitectureArtificial IntelligenceSoftware
2011English

A New Unsupervised Feature Selection Algorithm Using Similarity-Based Feature Clustering

Computational Intelligence
Computational MathematicsArtificial Intelligence
2019English

Zero-Shot Image Classification Algorithm Based on Particle Swarm Optimization Fusion Feature

Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Engineering
2019English

Quantum Particle Swarm Optimization Based Network Intrusion Feature Selection and Detection

IFAC Proceedings Volumes
2008English

Intelligent Facial Expression Recognition Using Particle Swarm Optimization Based Feature Selection

2018English

Particle Swarm Optimization for Unsupervised Robotic Learning

English

Text Clustering Using Ensemble Clustering Technique

International Journal of Advanced Computer Science and Applications
Computer Science
2018English

Monte Carlo Localization Algorithm Based on Particle Swarm Optimization

Automatika
ControlSystems EngineeringComputer Science
2019English

A Sar Autofocus Algorithm Based on Particle Swarm Optimization

Progress In Electromagnetics Research B
Electronic EngineeringCondensed Matter PhysicsOpticalElectricalMagnetic MaterialsElectronic
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy