Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques.
Hardy KremerStephan GünnemannThomas SeidlPublished in: ICDM Workshops (2010)
Keyphrases
- multivariate time series data
- climate change
- clustering algorithm
- subspace clustering
- multivariate time series
- predicting future
- climate data
- temporal data
- clustering method
- global climate change
- cluster analysis
- k means
- high dimensional data
- data points
- stochastic processes
- categorical data
- unsupervised learning
- change detection
- machine learning
- remote sensing