文章基本信息

标题：Generalized K-Nearest Neighbour Algorithm- A Predicting Tool
本地全文：下载
作者：Minakshi Sharma ; Suresh Kumar Sharma
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：11
出版社：S.S. Mishra
摘要：k-nearest neighbour algorithm is a non-parametric machine learning algorithm generally used for classification. It is also known as instance based lea rning or lazy learning. K-NN algorithm can also be adapted for regression that is for estimating continuous variables. In this research paper the researcher endow with a generalized K-nearest algorithm used for pred icting a continuous value. In order to better understand the proposed general method is used to forecast the value of maximum humidity. The experimental setup was developed using MATLAB. The interesting facts so obtained are presented in this research paper
关键词：KNN; Prediction; Mean Square Error; Humidity