Topic Clustering Using Induced Squared Correlation Thresholding with Dimension Reduction.
Ayodeji AyorindeJohn PanneerselvamLu LiuDejun MiaoPublished in: ISPA/BDCloud/SocialCom/SustainCom (2020)
Keyphrases
- dimension reduction
- cluster analysis
- high dimensional data
- high dimensional data analysis
- unsupervised learning
- high dimensionality
- principal component analysis
- feature extraction
- variable selection
- high dimensional
- feature selection
- high dimensional problems
- dimensionality reduction
- data mining and machine learning
- clustering algorithm
- random projections
- linear discriminant analysis
- clustering method
- discriminative information
- low dimensional
- self organizing maps
- singular value decomposition
- k means
- data clustering
- data points
- feature space
- partial least squares
- feature subspace
- manifold learning
- data sets
- preprocessing
- image segmentation
- data mining
- object recognition
- nearest neighbor
- database
- dimension reduction methods
- text classification