DISCOVERING WEB DOCUMENT CLUSTERING USING WEIGHTED SCORE MATRIX AND FUZZY LOGIC

In computer analysis, many files are usually analysis much of the data but in those files consists of unstructured data, and that data examined by computer examiners are more difficult to be performed. For this purpose it uses clustering documents, it can gives new and useful knowledge from the documents under analysis. Recently used clustering algorithms have some disadvantage like data preparation, outliers. The main theme is web documents is converted into clustering documents with the help of data preprocessing, features extraction, and weighted scores matrix techniques.