Semi-supervised Probabilistic Distance Clustering and the Uncertainty of Classification.
Cem IyigunAdi Ben-IsraelPublished in: GfKl (2008)
Keyphrases
- semi supervised
- unsupervised learning
- uncertain data
- classification accuracy
- clustering method
- feature extraction
- information theoretic
- distance metric
- supervised learning
- semi supervised learning
- distance measurement
- support vector
- support vector machine
- semi supervised classification
- unsupervised clustering
- classification method
- pattern recognition
- decision trees
- clustering algorithm
- text classification
- high dimensionality
- probability theory
- class labels
- clustering analysis
- fuzzy clustering
- label information
- generative model
- k means
- feature vectors
- constrained clustering
- unsupervised classification
- machine learning
- instance level constraints
- decision theory
- co training
- labeled and unlabeled data
- conditional probabilities
- labeled data
- multi view
- image classification
- feature space
- feature selection
- fully supervised
- semi supervised learning algorithms
- similarity measure
- training data
- semi supervised clustering
- probabilistic model
- distance function
- self organizing maps
- euclidean distance
- classification algorithm
- document clustering