On Clustering Time Series Using Euclidean Distance and Pearson Correlation.

Michael R. Berthold Frank Höppner

Published in: CoRR (2016)

Keyphrases

euclidean distance
dynamic time warping
distance metric
pearson correlation
data points
distance measure
distance function
statistically significant

similarity measure
mahalanobis distance
euclidean space
k means
feature vectors
clustering algorithm
clustering method
manhattan distance

dimensionality reduction
feature space
cosine distance
nearest neighbor
knn
document clustering
spectral clustering

fuzzy clustering
fuzzy c means
edit distance
metric learning
support vector
face recognition
image processing