On Clustering Time Series Using Euclidean Distance and Pearson Correlation.
Michael R. BertholdFrank HöppnerPublished 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