A Clustering-Based Approach to Reduce Feature Redundancy.
Renato Cordeiro de AmorimBoris G. MirkinPublished in: KICSS (2013)
Keyphrases
- clustering algorithm
- clustering method
- k means
- unsupervised learning
- data clustering
- self organizing maps
- fuzzy clustering
- feature vectors
- hierarchical clustering
- spectral clustering
- feature importance
- cluster analysis
- redundancy reduction
- similarity function
- document clustering
- neural network
- information theoretic
- image features
- high dimensionality
- outlier detection
- high dimensional data
- dimensionality reduction
- text mining
- object recognition
- information content
- preprocessing step
- categorical data
- data mining tasks
- graph theoretic
- case study
- minimum redundancy
- computer vision