Kernel-Density-Based Clustering of Time Series Subsequences Using a Continuous Random-Walk Noise Model.
Anne DentonPublished in: ICDM (2005)
Keyphrases
- random walk
- noise model
- density based clustering
- noise level
- arbitrary shape
- noisy images
- outlier detection
- clustering algorithm
- high efficiency
- markov chain
- categorical data
- optimization procedure
- distributed data mining
- gaussian noise
- gaussian distribution
- feature space
- information retrieval
- edge detection
- feature vectors