Classification of High-dimensional Data Clustering Based on Rules Mining Research

Download Now
Provided by: Academy Publisher
Topic: Data Management
Format: PDF
On the classification of high-dimensional data clustering analysis, traditional similarity index and dimension reduction based on clustering analysis method is hard to avoid \"Dimension disaster\" problem or sampling errors. Therefore, on the basis of choosing the most sub space of the rough set theory, the paper directly make a research of the classification of high dimensional data clustering theory mode through to the \"Equivalence relation\" rule mining. Besides, through the China mobile company five cities sampling data of the loss of cell phone users, the authors has carried on the empirical test and a better clustering results are obtained.
Download Now

Find By Topic