Supervised model-based visualization of high-dimensional data.
Petri KontkanenJussi LahtinenPetri MyllymäkiTomi SilanderHenry TirriPublished in: Intell. Data Anal. (2000)
Keyphrases
- high dimensional data
- data analysis
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensional
- high dimensionality
- data sets
- high dimensions
- similarity search
- subspace clustering
- lower dimensional
- manifold learning
- data points
- semi supervised
- input space
- linear discriminant analysis
- original data
- dimension reduction
- high dimensional datasets
- clustering high dimensional data
- sparse representation
- euclidean distance
- unsupervised learning
- supervised learning
- data mining
- input data
- text data
- nonlinear dimensionality reduction
- pairwise
- dimensional data
- high dimensional data sets
- supervised dimensionality reduction
- feature space
- pattern recognition
- decision trees
- machine learning
- small sample size