Clustering High Dimensional Massive Scientific Datasets.
Ekow J. OtooArie ShoshaniSeung-won HwangPublished in: J. Intell. Inf. Syst. (2001)
Keyphrases
- high dimensional datasets
- high dimensional
- high dimensional data
- high dimensionality
- clustering algorithm
- data points
- k means
- outlier detection
- synthetic datasets
- data mining tasks
- clustering method
- similarity search
- dimensionality reduction
- high dimensional data sets
- data analysis
- clustering approaches
- massive datasets
- categorical attributes
- unsupervised learning
- data clustering
- artificial intelligence
- categorical data
- spectral clustering
- synthetic and real datasets
- feature space
- benchmark datasets
- database
- nearest neighbor
- metric space
- text data
- neural network
- data sets
- gene expression profiles
- high dimensional feature spaces
- clustering quality
- nearest neighbor search
- manifold learning
- parameter space
- document clustering
- cluster analysis
- low dimensional
- multi dimensional
- text mining