Outlier Robust Geodesic K-means Algorithm for High Dimensional Data.
Aidin HassanzadehArto KaarnaTuomo KaurannePublished in: S+SSPR (2016)
Keyphrases
- k means
- high dimensional data
- learning algorithm
- subspace clustering
- clustering method
- expectation maximization
- variable weighting
- detection algorithm
- dimensionality reduction
- input data
- dimensional data
- low dimensional
- data sets
- high dimensional
- data clustering
- distance transform
- pattern recognition
- similarity measure
- spectral clustering
- data mining
- high dimensional spaces
- locally linear embedding
- real world