Abstract:
Rural's people development plays an importance role in a country. The analysis of status of social, commercial of Rural's people is very main status. By using this analysis, fill can the requirement space. So, the statuses of social, commercial of rural region’s are analyzed by using partition method. The education, economic, age and kinds of job from Kong Thar village have been checked. So the development of it can be easily known and analyzed. Data mining approach has emerged in order to exploit require information from Kong Thar information. Clustering a subcomponent of data mining process is a process of partitioning a set of data objects (information) into a set of meaningful subclass, called Clusters. This paper proposes the approach for clustering of Kong Thar people by using K-mean method. If K-means method is used to cluster information with similarities it can provide the set of required information to the user.
