Clustering and visualization of a high-dimensional diabetes dataset.
Piotr LasekZhen MeiPublished in: KES (2019)
Keyphrases
- high dimensional
- high dimensional datasets
- self organizing maps
- high dimensional data
- high dimensionality
- data points
- dimensionality reduction
- low dimensional
- k means
- clustering method
- multidimensional scaling
- outlier detection
- unsupervised learning
- clustering algorithm
- multi dimensional
- multidimensional data
- similarity search
- feature space
- high dimensional data sets
- synthetic datasets
- benchmark datasets
- training dataset
- hierarchical clustering
- data analysis
- categorical data
- visual representation
- nearest neighbor
- data exploration
- information theoretic
- visualization tool
- sparse data
- subspace clustering
- spectral clustering
- document clustering
- cluster analysis
- image segmentation