The Efficiency of the Rules’ Classification Based on the Cluster Analysis Method and Salton’s Method

The aim of this paper is the comparison of the document classification method based on distance analysis (cluster analysis) and based on coefficients of similarity (Salton's method). We are interested if the received groups of documents are identical (similar) and if new cases are similarly classificated. Getting the positive results will give us the basis to use the method based on coefficients of similarity to classify the set of rules. Classification based on the coefficient of similarity is used to create documentation structural based and retrieval in search engines. The cluster analysis is used to facts and rules classification in knowledge base. It seems that using the mechanism based on the coefficient of similarity can be very comfortable to inference's process. Our paper includes the first issue, it means the comparison of the rules's process classification based on the cluster analysis method and Salton's method.