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Survey on multiclass classification methods.
| Content Provider | CiteSeerX |
|---|---|
| Author | Mehra, Neha Gupta, Surendra |
| Abstract | Abstract-Supervised learning is based on the target value or the desired outputs. Various successful techniques have been proposed to solve the problem in the binary classification case. The multiclass classification case is more delicate one. In this short survey we investigate the various techniques for solving the multiclass classification problem. Various authors and research modified the multiclass classification approach such as one against one, one against all and Directed Acyclic Graph (DAG) which creates many binary classifiers and combines their results to determine the class label of a test pixel. They also describe the various extensible methods that are extended from binary class to solve the multiclass problem and also explain the method in which the classes are arranged into a tree. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Multiclass Classification Method Various Author Target Value Binary Class Class Label Abstract-supervised Learning Test Pixel Many Binary Classifier Various Technique Directed Acyclic Graph Multiclass Classification Case Various Extensible Method Multiclass Problem Delicate One Multiclass Classification Approach Binary Classification Case Short Survey Various Successful Technique Multiclass Classification Problem |
| Content Type | Text |
