Low-dimensional tracking of association structures in categorical data.
Alfonso Iodice D'EnzaAngelos I. MarkosPublished in: Stat. Comput. (2015)
Keyphrases
- categorical data
- low dimensional
- cluster analysis
- numerical data
- parameter free
- high dimensional
- numeric data
- high dimensional data
- dimensionality reduction
- principal component analysis
- correspondence analysis
- manifold learning
- input space
- attribute values
- euclidean space
- data points
- recognizing facial expressions
- hierarchical latent class models
- particle filter
- multivariate time series
- appearance model
- multidimensional scaling
- clustering method
- distance based outlier detection
- feature space
- data sets