Unsupervised detection of InSAR time series patterns based on PCA and K-means clustering.
Davide FestaAlessandro NovellinoEkbal HussainLuke BatesonNicola CasagliPierluigi ConfuortoMatteo Del SoldatoFederico RaspiniPublished in: Int. J. Appl. Earth Obs. Geoinformation (2023)
Keyphrases
- principal component analysis
- sequential data
- pattern detection
- temporal patterns
- multivariate time series
- detection accuracy
- k means
- detection method
- pattern discovery
- principal components
- detection rate
- disease outbreaks
- multivariate time series data
- object detection
- discriminant projection
- surprising patterns
- non stationary
- abnormal patterns
- detection algorithm
- unsupervised learning
- automatic detection
- dimensionality reduction
- semi supervised
- feature space
- dimension reduction
- pattern extraction
- periodic patterns
- symbolic representation
- false alarms
- feature selection
- data clustering
- event detection
- false positives
- anomaly detection
- training set
- face recognition