Time Series Clustering Based on Singularity

Abstract

With relevant theories on time series clustering, the thesis makes researchinto similarity clustering process of time series from the perspective of singularity andproposes the time series clustering based on singularity applying K-means and DBScanclustering algorithms according to the shortage of traditional clustering algorithm. Inaccordance with the general clustering process of time series, time series clusteringbased on singularity and K-means are made respectively to get different clusteringresults and make a comparison, thus proving that similarity clustering research oftime series from the perspective of singularity can better find out people’s concern ontime series.