Generating AUTOLISP Code to Achieve the Diagram Drawing of Variable ID3 Genotyping Decision Tree Classifier by Compiling of MATLAB
Abstract: Decision tree classifier is a kind of classification algorithm based on examples, which is widely used in the field of artificial intelligence. ID3 algorithm is the most classical decision tree construction algorithm. It constructs a decision tree by recursion, and the selection of the attribute which contains the most amount of information. The structure of one decision tree classifier sometimes is very large and complex, decision tree classification diagram is very intuitive, and some key information can be mined from the original data set, so the decision tree diagram drawing is very necessary. This study give us an example on genotyping decision tree drawing classifier in the domain of molecular biology, and talk about how to use the MALAB language compiler to generate AUTOLISP code, so as to achieve diagram drawing of a variable ID3 genotyping decision tree classifier.
文章引用: 李宏彬 , 赫光中 (2016) MATLAB编译生成AUTOLISP代码实现可变ID3基因分型决策树分类图的绘制。 计算机科学与应用， 6， 368-375. doi: 10.12677/CSA.2016.66045
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