Low-Dimensional Data Representation in Data Analysis.
Alexander V. BernsteinAlexander P. KuleshovPublished in: ANNPR (2014)
Keyphrases
- data representation
- low dimensional
- dimensionality reduction
- data analysis
- high dimensional data
- high dimensional
- subspace learning
- manifold learning
- graph embedding
- principal component analysis
- data points
- euclidean space
- dimension reduction
- data representations
- input space
- linear subspace
- business intelligence
- data mining
- feature space
- machine learning
- cluster analysis
- pattern recognition
- domain knowledge
- databases
- feature construction
- feature selection
- similarity search
- knowledge discovery
- xml documents
- query language
- linear discriminant analysis
- computer vision
- data warehouse
- representational power
- domain specific
- manifold structure
- discriminative information
- text mining