TEXT CLUSTERING BY AUTHOR USING THE TIME SERIES MODEL

In this article, we will introduce a novel model of clustering fragments of text by using the time series model. Given a set of book chapters, we want to cluster them by the author. The model that we are proposing makes use of the time series model in order to represent the text. Afterwards, we are going to use a distance algorithm called dynamic time warping for computing the distance between two chapters. In the end, using the distances computed a priori, we will evaluate different clustering algorithms in order to group the data.