SE-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets

Author:

Cai BoruiORCID,Huang GuangyanORCID,Yang ShuiqiaoORCID,Xiang YongORCID,Chi Chi-HungORCID

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference49 articles.

1. An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation;Abbasimehr;Expert Systems with Applications,2022

2. Alcock, R. J., Manolopoulos, Y., et al. (1999). Time-series similarity queries employing a feature-based approach. In 7th Hellenic conference on informatics (pp. 27–29).

3. CDPS: Constrained DTW-preserving shapelets;Amouri,2023

4. Linear discriminant analysis-a brief tutorial;Balakrishnama;Institute for Signal and Information Processing,1998

5. Semi-supervised clustering by seeding;Basu,2002

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