A General Approach to Clustering in Large Databases with Noise.
Alexander HinneburgDaniel A. KeimPublished in: Knowl. Inf. Syst. (2003)
Keyphrases
- special case
- clustering algorithm
- missing data
- k means
- clustering method
- input data
- hierarchical clustering
- signal to noise ratio
- graph theoretic
- information theoretic
- anomaly detection
- self organizing maps
- noisy data
- random noise
- cluster analysis
- noise reduction
- database
- closely related
- high dimensional data
- unsupervised learning
- knowledge discovery
- feature selection
- information systems
- data mining
- neural network
- databases
- data sets