Arabic text clustering using improved clustering algorithms with dimensionality reduction.
Arun Kumar SangaiahAhmed E. FakhryMohamed Abdel-BassetIbrahim M. El-HenawyPublished in: Clust. Comput. (2019)
Keyphrases
- clustering algorithm
- dimensionality reduction
- k means
- clustering method
- arabic text
- data clustering
- document clustering
- high dimensional data
- cluster analysis
- high dimensionality
- overlapping clusters
- unsupervised clustering
- incremental clustering
- unsupervised learning
- clustering framework
- pattern recognition and machine learning
- spectral clustering
- hierarchical clustering
- data points
- clustering approaches
- high dimensional
- low dimensional
- density based clustering algorithm
- arbitrary shape
- density based clustering
- cluster centers
- clustering result
- evolutionary clustering
- clustering ensemble
- overlapping clustering
- clustering quality
- constrained clustering
- feature extraction
- subspace clustering
- data representation
- fuzzy c means
- agglomerative hierarchical clustering
- meaningful clusters
- fuzzy clustering
- principal component analysis
- validity measures
- clustering analysis
- hierarchical clustering algorithm
- consensus clustering
- feature space
- feature selection