Clustering time series, subspace identification and cepstral distances.
Jeroen BoetsKatrien De CockMarcelo EspinozaBart De MoorPublished in: Commun. Inf. Syst. (2005)
Keyphrases
- clustering method
- subspace clustering
- high dimensional data
- dissimilarity measure
- data mining tasks
- multivariate time series
- clustering algorithm
- multivariate time series data
- k means
- hierarchical clustering
- cluster analysis
- categorical data
- low dimensional
- data points
- streaming time series
- clustering high dimensional data
- high dimensional
- locality preserving
- self organizing maps
- data sets
- information theoretic
- dynamic time warping
- subspace clusters
- outlier detection
- spectral clustering
- data clustering
- non stationary
- unsupervised learning
- distance measure
- principal component analysis
- feature space
- data mining
- high dimensionality
- speech recognition
- data analysis
- subspace projections
- feature extraction