A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream Based on the Cohesiveness and Separation Index of Mahalanobis Distance

Journal of Electrical and Computer Engineering- United States

doi 10.1155/2020/4027423

Full Text

Abstract

Available in

Date

Authors

Publisher

Hindawi Limited

Related search

Analysis of Classification and Clustering Based Novel Class Detection Techniques for Stream Data Mining

International Journal of Engineering Research and
2015English

Imbalance Data Classification Using Local Mahalanobis Distance Learning Based on Nearest Neighbor

SN Computer Science
2020English

Outlier Detection Based on Robust Mahalanobis Distance and Its Application

Open Journal of Statistics
2019English

A New Classification Algorithm for Data Stream

International Journal of Modern Education and Computer Science
2011English

On the Mahalanobis Distance Classification Criterion for Multidimensional Normal Distributions

IEEE Transactions on Signal Processing
Electronic EngineeringSignal ProcessingElectrical
2013English

Mahalanobis Distance-Based Algorithm for Ellipse Growing in Iris Preprocessing

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

A Scalable Algorithm for Learning a Mahalanobis Distance Metric

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2010English

A Novel Concept Drift Detection Method in Data Streams Using Ensemble Classifiers

Intelligent Data Analysis
Computer VisionPattern RecognitionArtificial IntelligenceTheoretical Computer Science
2016Dutch

Mahalanobis Distance for Class Averaging of Cryo-Em Images

2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy