RESEARCH AND APPLICATION ON KNN METHOD BASED ON CLUSTER BEFORE CLASSIFICATION

摘要：

In order to mine the hidden knowledge, and solve the problem of data is superfluous but knowledge is spare, data mining is used widely. Data classification is an important task of data mining, which has been at the center of research interest in recent years. The research of this paper is on classification. Starting from fuzzy KNN classification method, based on the idea of cluster before classification, a method-KNN method based on cluster before classification - is proposed. Paper executes particular and extensive experiments, which include two parts: validating the influence the parameters have on new method and comparing the expansibility of the new classification method and fuzzy KNN method with the increasing of the dataset size and the number of attributes. The experimental results show the benefits of new method when dealing with larger datasets. Finally, the proposed method is applied to data preprocessing. Executing the classification on vector map datasets about vegetation, the vegetation style can be obtained, so data preprocessing is completed; we also display the classification results using the software of geography information system such as ArcGIS.

关键词： KNN Data preprocessing Classification Cluster ArcGIS

作者: JUN-LI LU LI-ZHEN WANG JUN-JIA LU QIU-YUE SUN

作者单位: Department of Computer Science and Engineering, School of Information, Yunnan University, Kunming 65 Modern Education Technology Center, Yunnan Normal University, Kunming 650092, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 307-313

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）