Clustering by Principal Curve with Tree Structure

Data clustering is intensively used in signal processing in tasks such as multimedia compression, segmentation and pattern matching. In this work we extend the use of principal curves in clustering to complex multidimensional datasets. The use of principal curve in clustering is limited for high complexity data Automatic parameterization of the principal curve to assure good results for different datasets is a difficult task. We propose to use …