Clustering Algorithm Using Quoting Relation of Documents

Abstract

There is increasing interest in clustering, owing to improvements in computer capacity and expanding accessible information, circa 1990s. This paper aims to increase cohesion of clustering borrowing from techniques of pagerank showing the links among pages by assigning numerical values to the relevance of pages linked in Web pages. There are cases that need to be referenced in other documents because of any index in academic information. The greater the frequency of referenced academic information, the higher the probability that the referenced index of the document is relevant. Relations among documents referencing each other, are calculated via literature citing each document. The method of increasing the cohesion of clustering involves controlling the distance between two documents based on the values.