Constrained distance based clustering for time-series: a comparative and experimental study.
Thomas Andrew LampertThi-Bich-Hanh DaoBaptiste LafabregueNicolas SerretteGermain ForestierBruno CrémilleuxChristel VrainPierre GançarskiPublished in: Data Min. Knowl. Discov. (2018)
Keyphrases
- experimental study
- synthetic datasets
- clustering algorithm
- outlier detection
- clustering method
- k means
- data mining tasks
- information theoretic
- multivariate time series
- dynamic time warping
- data clustering
- cluster analysis
- non stationary
- experimental evaluation
- hierarchical clustering
- multivariate time series data
- self organizing maps
- categorical data
- streaming time series
- neural network
- anomaly detection
- distance measure
- data points
- symbolic representation
- gene expression time series