Coal Data Visualization System Design And Implementation Based On Cluster Analysis

With the continuous development of the times,human access to data become faster and faster,Faced with such a large number of data,how to dig out effective information of data and visual display has gradually become more worthy attention.At the same time,the rapid development of modern coal industry has led to the difficulty to satisfy the demand of the development of coal enterprises in the new situation.How to express the coal information quickly,effectively and vividly has become an urgent problem in the coal industry.To address the problem above,we design and implement a coal data visualization system based on cluster analysis,which can cluster analysis and visualization of coal data.The system mainly to achieve the following work:(1)In the system,we use an optimized K-means algorithm based on Kruskal algorithm,which can reasonably divide the initial clustering center of the data and avoid the clustering caused by the improper selection of the initial clustering center.The Problem of Global Optimal Solution.(2)Display the data visualization,because the coal data type is too much and the correlation of the data is too small,we use the parallel coordinates and scatter data on the visual display of the data.(3)The clustering results and the clustering process are respectively visualized.At the same time we realized the dynamic simulation of clustering.Form the experiments,we can see he clustering and visualization methods in this paper can meet the needs of coal quality data analysis and visualization,and can realize the visualization of different components of coal quality data in general.In general,the paper have application value.