A Context Dependent Distance Measure for Shape Clustering.
Rolf LakämperJingTing ZengPublished in: ISVC (2) (2008)
Keyphrases
- distance measure
- context dependent
- dissimilarity measure
- distance metric
- hausdorff distance
- euclidean distance
- similarity measure
- cosine similarity
- semantic level
- proximity measures
- nearest neighbor classification
- distance function
- distance calculation
- clustering method
- context free
- nearest neighbor classifier
- shape similarity
- low level
- vector space
- dynamic time warping
- shape analysis
- natural language
- clustering algorithm
- bhattacharyya distance
- high level
- k means
- kullback leibler divergence
- edit distance
- arbitrary shape
- hamming distance
- shape matching
- document clustering
- texture features
- information theoretic
- mutual information
- feature space
- probability density function
- triangle inequality
- similarity function
- kullback leibler
- feature selection