KNN-kernel density-based clustering for high-dimensional multivariate data.
Thanh N. TranRon WehrensLutgarde M. C. BuydensPublished in: Comput. Stat. Data Anal. (2006)
Keyphrases
- multivariate data
- knn
- density based clustering
- high dimensional
- k nearest neighbor
- kernel function
- categorical data
- feature space
- nearest neighbor
- input space
- similarity search
- high efficiency
- low dimensional
- clustering algorithm
- distance function
- arbitrary shape
- text categorization
- dimensionality reduction
- support vector machine svm
- high dimensional data
- high dimensionality
- parameter space
- distributed data mining
- data points
- text classification
- range queries
- dimension reduction
- support vector
- outlier detection
- multi dimensional
- support vector machine
- cluster analysis
- feature selection
- metric space
- dimensional data
- high dimensional datasets
- data sets
- machine learning
- neural network