Semi-Hard Clustering With Application to Classifier Design

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
doi 10.3156/jsoft.22.358
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Related search

An Efficient Fabric Defect Prediction Based on Modular Neural Network Classifier With Alternative Hard C-Means Clustering

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

Using Semi-Supervised Classifier to Forecast Extreme CPU Utilization

International Journal of Artificial Intelligence & Applications
2020English

Design of Hierarchical Classifier With Hybrid Architectures

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2005English

Semi-Supervised Projection Clustering With Transferred Centroid Regularization

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2010English

Semi-Supervised Spectral Clustering

2018English

Multiple-Prototype Classifier Design

IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)
1998English

RADC Seismic Classifier Design

1973English

Multi-Classifier Adaptive Training: Specialising an Activity Recognition Classifier Using Semi-Supervised Learning

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Multi-Train: A Semi-Supervised Heterogeneous Ensemble Classifier

Neurocomputing
Computer Science ApplicationsArtificial IntelligenceCognitive Neuroscience
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy