Using Cumulative Weighted Slopes for Clustering Time Series Data
Durga Toshniwal, Raj Joshi · 2005
Abstract. Clustering time series data is an important mining activity in various domains. In this paper we propose a novel approach for clustering time series data based on cumulative weighted slopes. This technique is based on the ob-servation that similar time sequences would have similar slopes at their corre-sponding points. The weighted sum of these slopes is called the cumulative weighted slope and is computed for each time sequence. Clusters are formed on the basis of this weighted sum of slopes to identify similar patterns over periods of time. 1