hSOM: Visualizing Self-Organizing Maps to Accomodate Categorical Data.
Phillip C. S. R. KilgoreMarjan TrutschlUrska CvekHyung W. NamPublished in: IV (2020)
Keyphrases
- self organizing maps
- categorical data
- cluster analysis
- numerical data
- unsupervised learning
- parameter free
- competitive learning
- numeric data
- neural network
- k means
- multivariate data
- neural gas
- input data
- attribute values
- interactive visualization
- learning algorithm
- som neural network
- hierarchical latent class models
- model selection
- knowledge discovery
- artificial neural networks
- high dimensional
- data analysis
- information visualization
- object recognition
- reinforcement learning
- similarity measure
- multivariate time series
- information retrieval
- real world
- databases
- data sets
- distance based outlier detection
- database