Approximating Text-To-Pattern Distance via Dimensionality Reduction.
Przemyslaw UznanskiPublished in: CPM (2020)
Keyphrases
- dimensionality reduction
- euclidean distance
- high dimensional data
- high dimensionality
- high dimensional
- principal component analysis
- keywords
- manifold learning
- text retrieval
- pattern recognition
- pattern discovery
- free text
- low dimensional
- neural network
- data representation
- structure preserving
- approximate pattern matching
- text mining
- distance metric
- database
- principal components
- pattern recognition and machine learning
- feature extraction
- linear dimensionality reduction
- information retrieval
- nonlinear dimensionality reduction
- distance computation
- semi supervised dimensionality reduction
- text classification
- key concepts
- feature selection
- face recognition
- image retrieval
- distance measure
- text documents