A non-parametric unsupervised approach for content based image retrieval and clustering.
Konstantinos MakantasisAnastasios D. DoulamisNikolaos DoulamisPublished in: ARTEMIS@ACM Multimedia (2013)
Keyphrases
- unsupervised learning
- unsupervised classification
- clustering algorithm
- clustering method
- unsupervised manner
- unsupervised feature selection
- unsupervised clustering
- information bottleneck
- hierarchical clustering
- k means
- supervised classification
- low level image features
- information theoretic
- agglomerative clustering
- relevance feedback
- semi supervised
- cluster validation
- completely unsupervised
- multimedia
- supervised learning
- probability density function
- multimedia content
- categorical data
- spectral clustering
- web content
- document clustering
- self organizing maps
- expectation maximization
- minimum message length
- fuzzy clustering
- topic modeling
- cluster analysis
- data points
- social media
- metadata