Clustering Time Series with k-Medoids Based Algorithms.
Christopher HolderDavid Guijo-RubioAnthony J. BagnallPublished in: AALTD@ECML/PKDD (2023)
Keyphrases
- data mining tasks
- theoretical analysis
- data structure
- optimization problems
- benchmark datasets
- k means
- significant improvement
- clustering algorithm
- computational cost
- single link
- synthetic and real datasets
- data clustering
- computationally efficient
- unsupervised learning
- pairwise
- lower bound
- feature space
- computational complexity
- decision trees