Locally Important Pattern Clustering Code for Pedestrian Classification.
Young-Chul LimMinsung KangPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2015)
Keyphrases
- decision trees
- pattern recognition
- classification accuracy
- classification scheme
- unsupervised clustering
- automatic classification
- unsupervised learning
- high dimensionality
- unsupervised classification
- feature vectors
- clustering analysis
- training set
- pattern matching
- clustering method
- classification process
- support vector
- machine learning
- supervised classification
- pattern classification
- image classification
- support vector machine
- clustering algorithm
- feature selection
- similar patterns
- microarray data analysis
- data sets
- pattern representation
- classification models
- hierarchical clustering
- document clustering
- text classification
- source code
- feature space
- computer vision
- density estimation
- data clustering
- classification rules
- machine learning methods
- information theoretic