K-Means over Incomplete Datasets Using Mean Euclidean Distance.
Loai AbdAllahIlan ShimshoniPublished in: MLDM (2016)
Keyphrases
- euclidean distance
- k means
- image space
- distance measure
- distance function
- distance metric
- data points
- cosine similarity
- similarity measure
- feature vectors
- high dimensional spaces
- mahalanobis distance
- euclidean space
- similarity measurement
- dimensionality reduction
- dynamic time warping
- fuzzy c means
- kernel induced
- computer vision
- spectral clustering
- cluster analysis
- clustering method
- image processing
- document clustering
- missing data
- neural network
- manhattan distance