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 94
- Downloads 0
Join Operations in Relational Databases with Automatic Attributes Renaming
The paper considers inner and outer join of relation operations, as well as set-theoretical operations on relations. Unlike join operations in Codd’s relational algebra the join operations under consideration are based...
A Review of Agent Based Interoperability Frameworks and Interoperability Assessment Models
In a heterogeneous world, concurrent distributed development has led to many types of multi-agent systems that offer diverse functionality in agents as different types of platforms are not in a position to interoperate....
Converting Banana Peels from Agricultural residues to Advantageous Substances
Constantly, increase and vary the human needs and its requirements that don’t expire as a result of witnessed development of the life in all fields. Whenever the technology is advance in any area, increased human welfare...
E-Agricultural Concepts for Improving Productivity: A Review
In the modern context, Information and Communications Technology can be simply defined as a collection of technologies that assist in storing, processing, dissemination and communication of data or information or both. T...
Feature Extraction from Waste Generation Map by Applying Squared Error Algorithm Method
Solid waste management is a serious problem for cities throughout the world. Municipal Solid waste management is one among the fundamental and essential services provided by municipal authorities in the country to keep u...