A new approach to present prototypes in clustering of time series

• Main Authors: Aghabozorgi, S.R., Wah, T.Y., Amini, A., Saybani, M.R.
• Format: Conference or Workshop Item
• Language: English
• Published: 2011
• Subjects: QA Mathematics
• Online Access: http://eprints.um.edu.my/13448/1/A_new_approach_to_present_prototypes.pdf; http://eprints.um.edu.my/13448/

There are considerable advances in clustering time series data in data mining concept. However, most of which use traditional approaches and try to customize the algorithms to be compatible with time series data. One of the significant problems with traditional clustering is defining prototype spec...