Sphere packing for clustering sets of vectors in feature space.
Dario García-GarcíaRaúl Santos-RodríguezPublished in: ICASSP (2011)
Keyphrases
- feature space
- feature vectors
- data points
- high dimensionality
- clustering method
- dissimilarity measure
- k means
- clustering algorithm
- high dimensional
- input data
- lower dimensional
- high dimensional feature space
- feature selection
- cluster analysis
- hierarchical clustering
- mean shift
- binary vectors
- training set
- self organizing maps
- canonical correlations
- output space
- data clustering
- input space
- neural network
- feature extraction
- packing problem
- principal component analysis
- similarity function
- sparse coding
- classification accuracy
- image retrieval
- image representation
- vector space
- unit sphere
- distance metric
- training samples
- dot product
- kernel function