Controlling Self-Organization and Handling Missing Values in SOM and GTM.
Tommi VatanenIlari T. NieminenTimo HonkelaTapani RaikoKrista LagusPublished in: WSOM (2012)
Keyphrases
- missing values
- self organizing maps
- generative topographic mapping
- missing data imputation
- missing data
- unsupervised learning
- high dimensional data
- data imputation
- incomplete data
- semi supervised
- neural network
- input data
- k means
- missing attribute values
- incomplete data sets
- image processing
- data sets
- principal component analysis
- feature vectors
- dimension reduction
- high dimensional
- data cleaning
- missing information
- pattern recognition