Studying the effects of conflicting tokenization on LSA dimension reduction.
Mahmoud FahsiSidi Mohamed BenslimanePublished in: ICMCS (2014)
Keyphrases
- dimension reduction
- singular value decomposition
- principal component analysis
- high dimensional
- latent semantic analysis
- high dimensional problems
- feature extraction
- partial least squares
- low dimensional
- high dimensional data
- variable selection
- feature selection
- random projections
- data mining and machine learning
- linear discriminant analysis
- dimensionality reduction
- high dimensionality
- feature space
- unsupervised learning
- image sequences
- cluster analysis
- manifold learning
- high dimensional data analysis
- named entities
- co occurrence
- discriminative information
- machine learning
- model selection
- image data
- pairwise
- information retrieval
- dimension reduction methods
- data sets