Integrating dimension reduction with mean-shift clustering for biological shape classification.
Hao-Chih LeeGe YangPublished in: ISBI (2014)
Keyphrases
- mean shift
- dimension reduction
- mode seeking
- shape classification
- feature space
- cluster analysis
- high dimensionality
- high dimensional data
- unsupervised learning
- principal component analysis
- feature extraction
- shape retrieval
- visual tracking
- object tracking
- shape matching
- high dimensional
- low dimensional
- clustering method
- data points
- shape descriptors
- graph cuts
- linear discriminant analysis
- singular value decomposition
- particle filter
- dimensionality reduction
- shape representation
- data clustering
- clustering algorithm
- k means
- feature selection
- object recognition
- data sets
- nearest neighbor
- pattern recognition
- shape analysis
- data analysis
- partial occlusion
- global features
- semi supervised
- feature vectors
- image retrieval