Approximating Text-to-Pattern Distance via Dimensionality Reduction.
Przemyslaw UznanskiPublished in: CoRR (2020)
Keyphrases
- dimensionality reduction
- euclidean distance
- approximate pattern matching
- data representation
- pattern recognition
- pattern matching
- textual data
- feature extraction
- keywords
- text documents
- low dimensional
- distance measure
- text mining
- high dimensional
- high dimensional data
- text retrieval
- information retrieval
- semantic information
- information extraction
- high dimensionality
- principal components
- free text
- pattern recognition and machine learning
- linear discriminant analysis
- structure preserving
- feature selection
- manifold learning
- machine learning
- principal component analysis