An Improving Mulit-category Classification Method Based on the Binary Tree Support Vector Machine
Journal Title: Scholars Journal of Engineering and Technology - Year 2017, Vol 5, Issue 3
Abstract
Aiming at the problems of the slow convergence speed of general partial binary tree support vector machine (SVM) classifier and the fault samples easy to accumulate caused by complete binary tree and partial binary tree SVM classifier. The thesis proposes a multi-category classification method based on the unbalanced binary tree support vector machine (SVM),which construct a unbalanced binary tree SVM, making the easy to distinguish category can split out step by step from the root node, and reducing the accumulated errors caused by previous classification by analyzing the distribution of sample space. The results show that, comparing this method with the method of complete- and partial-binary tree ,an unbalanced binary tree SVM built in this paper has a strong ability of autonomous learning, and can easily distinguish separate classes first, thus improving classification accuracy. Keywords: binary tree; support vector machine; lustering analysis; many kinds of points; pattern recognition.
Authors and Affiliations
BU Qing-chao
Keywords
Related Articles
- EP ID EP386266
- DOI -
- Views 90
- Downloads 0
Rectangular group congruences on an epigroup
An epigroup is a semigroup in which some power of any element lies in a sub-group of the given semigroup. The rectangular group congruences on an epigroup are investigated. A characterization of rectangular group congrue...
Data Mining in the Application of Criminal Cases Based on Decision Tree
A briefing on data mining technology used in criminal investigation work and the importance of using ID3 decision tree to structure the Decision Tree algorithm method is given by this paper. It makes a combination of cri...
PIC12C5xx a Pipeline Processor Design and Implementation on XILINX FPGA Chip
This paper describes PIC12C5xx a pipelined processor design and implementation on Xilinx FPAG Chip, which named KAUPIC12. This project is conducted for the Computer Organization Course (EE361) at King Abdulaziz Universit...
A new non-monotone self-adaptive trust region method for unconstrained optimization
In this paper, we consider a novel non-monotone self-adaptive trust region method for solving unconstrained optimization problem. Unlike the usual trust region methods, our proposed the new algorithm does not only uses c...
Case Study on Preventive Maintenance Strategy of Off-Highway Truck
Present study developed the preventive maintenance strategy of the articulated off-highway truck to minimize the total maintenance cost, and maximize the utilization rate. After analyzed the field data, the original main...