A novel time series clustering method with fine-tuned support vector regression for customer behavior analysis.
Hossein AbbasimehrFarzam Sheikh BagheryPublished in: Expert Syst. Appl. (2022)
Keyphrases
- clustering method
- behavior analysis
- support vector regression
- fine tuned
- singular spectrum analysis
- forecasting accuracy
- fine tuning
- anomaly detection
- support vector
- regression model
- clustering algorithm
- support vector machine
- support vector machine svm
- subspace clustering
- cluster analysis
- hybrid model
- domain specific
- surveillance system
- kernel function
- autoregressive conditional heteroscedasticity
- fuzzy c means
- support vector classification
- spectral clustering
- clustering analysis
- forecasting model
- affinity propagation
- non stationary
- similarity measure
- complex valued
- pattern recognition
- data mining
- k nearest neighbor
- dimensionality reduction
- general purpose
- k means
- pairwise
- machine learning