CSTS provides a synthetic benchmark with 23 ground-truth correlation patterns across data variants, plus reference values, to evaluate correlation-based time series clustering algorithms and validation measures.
Gao, Dominic Dwyer, Ye Zhu, Catherine L
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering
CSTS provides a synthetic benchmark with 23 ground-truth correlation patterns across data variants, plus reference values, to evaluate correlation-based time series clustering algorithms and validation measures.