A New Accurate Clustering Approach for Detecting Different Densities in High Dimensional Data.
Nabil El MalkiRobin CugnyOlivier TesteFranck RavatPublished in: DaWaK (2021)
Keyphrases
- high dimensional data
- high dimensionality
- data points
- nearest neighbor
- subspace clustering
- high dimensional
- dimensionality reduction
- low dimensional
- data sets
- clustering high dimensional data
- high dimensional data sets
- high dimensions
- dimension reduction
- original data
- similarity search
- data distribution
- data analysis
- high dimensional datasets
- input space
- nonlinear dimensionality reduction
- linear discriminant analysis
- manifold learning
- lower dimensional
- input data
- data mining
- high dimensional spaces
- subspace learning
- clustering algorithm
- text data
- sparse representation
- unsupervised learning
- face recognition
- dimensional data
- feature extraction
- database
- image processing
- machine learning
- high dimensional data analysis