Clustering High dimensional Massive Scientific Dataset.
Ekow J. OtooArie ShoshaniSeung-won HwangPublished in: SSDBM (2001)
Keyphrases
- high dimensional
- high dimensional datasets
- high dimensionality
- high dimensional data
- clustering method
- data points
- clustering algorithm
- dimensionality reduction
- synthetic datasets
- k means
- data mining
- unsupervised learning
- low dimensional
- hierarchical clustering
- similarity search
- cluster analysis
- noisy data
- sparse data
- database
- massive datasets
- self organizing maps
- outlier detection
- high dimensional data sets
- data clustering
- graph theoretic
- nearest neighbor
- variable selection
- training data
- data analysis
- feature space
- input space
- fuzzy clustering
- multi dimensional
- anomaly detection
- spectral clustering
- microarray data
- gene expression data