Machine Learning for Image Classification and Clustering Using a Universal Distance Measure.
Uzi ChesterJoel RatsabyPublished in: SISAP (2013)
Keyphrases
- distance measure
- image classification
- machine learning
- distance metric
- dissimilarity measure
- nearest neighbor classification
- euclidean distance
- cosine similarity
- clustering algorithm
- distance calculation
- proximity measures
- similarity measure
- distance function
- vector space
- hausdorff distance
- unsupervised learning
- clustering method
- kullback leibler
- k means
- bag of words
- texture features
- decision trees
- pattern recognition
- kullback leibler divergence
- dynamic time warping
- image representation
- nearest neighbor algorithm
- edit distance
- similarity function
- text classification
- hamming distance
- supervised learning
- cluster analysis
- nearest neighbor classifier
- image features
- learning algorithm
- data points
- data mining
- histogram intersection
- feature extraction
- high dimensional data