The Research And Application Of Data Mining Based On Grid-Density

This paper introduces the development of data mining and the concepts and techniques about clustering will be discussed, and also mainly discusses the algorithm of cluster based on grid-density, then the algorithm will be applied to the system of insurance ?Among the various algorithms of cluster put forward, they are usually based on the concepts of distance cluster o Whether it is in the sense of traditional Eculid distance such as "k-means" or others o These algorithms are usually inefficient when dealing with large data sets and data sets of high dimension and different kinds of attribute o Further more, the number of clusters they can find usually depends on users' input 0 But this task is often a very tough one for the user0 At the same time , different inputs will have great effect on the veracity of the cluster's result 0 In this paper the algorithm of cluster based on grid-density will be discussed o It gives up the concepts of distance <, It can automatically find out all clusters in that subspaceo At the same time , it performs well when dealing with high dimensional data and has good scalability when the size of the data sets increases o...