Decision Tree Clustering for Time Series Data: An Approach for Enhanced Interpretability and Efficiency.
Masaki HigashiMinje SungDaiki YamaneKenta InamuroShota NagaiKen KobayashiKazuhide NakataPublished in: PRICAI (2) (2023)
Keyphrases
- decision trees
- clustering method
- clustering algorithm
- k means
- predictive accuracy
- document clustering
- categorical data
- data mining
- logistic regression
- data clustering
- neural network
- high efficiency
- fuzzy clustering
- hierarchical clustering
- spectral clustering
- prediction accuracy
- anomaly detection
- unsupervised learning
- similarity measure
- machine learning
- outlier detection
- data sets
- graph theoretic
- multivariate time series
- streaming time series