Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle.
Yoshiki TanakaKuniaki UeharaPublished in: MLDM (2003)
Keyphrases
- multi dimensional time series
- mdl principle
- principal component analysis
- motif discovery algorithm
- minimum description length
- information theory
- independent component analysis
- principal components
- telemetry data
- dimensionality reduction
- learning algorithm
- prior information
- covariance matrix
- linear discriminant analysis
- face images
- face recognition
- dna sequences
- feature space
- binding sites
- prior knowledge
- high dimensional