A Fast Spectral Clustering Method Based on Growing Vector Quantization for Large Data Sets.
Xiujun WangXiao ZhengFeng QinBaohua ZhaoPublished in: ADMA (2) (2013)
Keyphrases
- clustering method
- vector quantization
- image compression
- vector quantizer
- data sets
- cluster analysis
- spectral clustering
- distortion measure
- clustering algorithm
- reduced complexity
- fuzzy c means
- affinity propagation
- similarity measure
- hierarchical clustering
- codebook design
- input vector
- document clustering
- fractal image compression
- clustering result
- finite state vector quantization
- wavelet transform
- k means
- neural network
- normalized cut
- fractal image coding
- hyperspectral
- text classification
- data analysis
- successive approximation