Dimension Reduction with Extraction Methods (Principal Component Analysis - Self Organizing Map - Isometric Mapping) in Indonesian Language Text Documents Clustering.
Muhammad Ihsan JambakAhmad Ikrom Izzuddin JambakRahmad Tirta FebriantoDanny Matthew SaputraMuhammad Irfan JambakPublished in: HIS (2019)
Keyphrases
- dimension reduction
- self organizing maps
- principal component analysis
- high dimensional data
- text documents
- unsupervised learning
- dimension reduction methods
- generative topographic mapping
- text clustering
- low dimensional
- document clustering
- information extraction
- manifold learning
- k means
- high dimensional
- singular value decomposition
- image processing
- text mining
- text categorization
- cluster analysis
- clustering algorithm
- input data
- clustering method
- dimensionality reduction
- feature space
- natural language
- linear discriminant analysis
- high dimensionality
- multiscale
- similarity measure
- feature extraction
- decision trees
- data sets