A Novel Density-Based Clustering Approach for Outlier Detection in High-Dimensional Data.
Thouraya Aouled MessaoudAbir SmitiAymen LouatiPublished in: HAIS (2019)
Keyphrases
- density based clustering
- outlier detection
- high dimensional data
- high dimensional datasets
- nearest neighbor
- low dimensional
- dimensionality reduction
- data points
- high dimensional
- data analysis
- high dimensionality
- similarity search
- data sets
- knowledge discovery
- detection algorithm
- data mining
- original data
- data streams
- high dimensional spaces
- data distribution
- clustering framework
- multi dimensional
- text mining
- dimensional data
- high efficiency
- arbitrary shape