Multiscale visual quality assessment for cluster analysis with self-organizing maps.
Jürgen BernardTatiana von LandesbergerSebastian BremmTobias SchreckPublished in: Visualization and Data Analysis (2011)
Keyphrases
- cluster analysis
- quality assessment
- self organizing maps
- neural gas
- multiscale
- k means
- unsupervised learning
- categorical data
- image quality
- data clustering
- clustering algorithm
- clustering method
- human visual system
- competitive learning
- data analysis
- hierarchical latent class models
- data quality
- data mining
- image quality assessment
- neural network
- visual features
- image processing
- input data
- supervised learning
- fuzzy clustering
- fuzzy c means
- image segmentation
- data mining techniques
- machine learning
- expectation maximization
- visual information
- wavelet transform
- image data
- low level
- learning algorithm