Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents.
Daniyal KazempourAnna BeerOliver SchrüferThomas SeidlPublished in: LWDA (2019)
Keyphrases
- data sets
- data mining tasks
- data structure
- data points
- high dimensional data
- data collection
- spectral clustering
- original data
- non stationary
- database
- knowledge discovery
- data analysis
- training data
- data objects
- clustering algorithm
- multidimensional data
- clustering analysis
- measured data
- medical images
- image compression
- xml documents
- multiresolution
- missing data
- sequential data