Multiclass Text Classification Algorithm Based on Mahalanobis Hyper Ellipsoidal Learning Machine
WANG Yi
QIN Yu-ping
Abstract：A new multiclass text classification algorithm based on mahalanobis hyper ellipsoidal learning ma -chine is proposed .To each class sample , training the hyper ellipsoidal learning machine , which include as much the class samples as possible and push the outlier samples away .For the sample to be classified , the distance from the sample mapping to the center of each mahalanobis hyper ellipsoidal are used to decide the sample classs.The results of the experiment show that the proposed algorithm has a higher classification accuracy and classification speed .
Keywords：hyper ellipsoidalnoisescovariance matrix .mahalanobis distance
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 39-42,70 )