Open AccessResearch and Implementation of Machine Learning Classifier Based on KNN
Author(s) -
Lishan Wang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/5/052038
Subject(s) - computer science , classifier (uml) , artificial intelligence , machine learning , k nearest neighbors algorithm , learning classifier system , pattern recognition (psychology) , data mining , artificial neural network
Machine learning classifier is an important part of pattern recognition system; it is also an important research field of machine learning. The main research object of this paper is K data mining (KNN, K Nearest Neighbor) classification method, using KNN to classify the data, and compare the classification results. The research work of this paper mainly discusses the implementation of KNN-based machine learning classifier, mainly focusing on the theoretical analysis of K-data mining, algorithm implementation, and implementing KNN-based machine learning classifier.