Clustering Distributed Generation using the instantaneous Euclidean Distance in polar coordinates.
Traian Nicolae PredaKjetil UhlenDag Eirik NordgårdPublished in: ISGT Europe (2013)
Keyphrases
- euclidean distance
- distance metric
- polar coordinates
- data points
- distance measure
- similarity measure
- dimensionality reduction
- distance function
- feature vectors
- clustering algorithm
- manhattan distance
- k means
- fourier transform
- high dimensional data
- dynamic time warping
- nearest neighbor
- log polar
- feature selection
- neural network
- image compression
- wavelet transform
- multiresolution
- fuzzy c means