Dimensionality reduction to improve content-based image retrieval: A clustering approach.
Francisco R. PirollaMarilde Terezinha Prado SantosJoaquim Cezar FelipeMarcela X. RibeiroPublished in: BIBM Workshops (2012)
Keyphrases
- dimensionality reduction
- high dimensionality
- clustering algorithm
- high dimensional data
- unsupervised learning
- feature extraction
- k means
- pattern recognition and machine learning
- multidimensional scaling
- data points
- relevance feedback
- image retrieval
- data representation
- principal components analysis
- feature space
- digital libraries
- self organizing maps
- cluster analysis
- neural network
- data clustering
- data sets