Dimension Reduction in Dissimilarity Spaces for Time Series Classification.

Brijnesh J. Jain Stephan Spiegel

Published in: AALTD@PKDD/ECML (Revised Selected Papers) (2015)

Keyphrases

dimension reduction
feature space
principal component analysis
feature extraction
high dimensional
high dimensional data
singular value decomposition
feature selection

low dimensional
random projections
high dimensional problems
data mining and machine learning
nearest neighbor
linear discriminant analysis
manifold learning

partial least squares
unsupervised learning
high dimensionality
preprocessing
variable selection
dimensionality reduction
pairwise

discriminative information
high dimensional data analysis
neural network
discriminant analysis
cluster analysis
support vector machine svm
data sets