Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection.
Ricardo J. G. B. CampelloDavoud MoulaviArthur ZimekJörg SanderPublished in: ACM Trans. Knowl. Discov. Data (2015)
Keyphrases
- data clustering
- outlier detection
- density estimation
- density estimates
- detect outliers
- unsupervised learning
- data streams
- knowledge discovery
- probability density
- clustering algorithm
- k means
- detection algorithm
- high dimensional datasets
- data analysis
- cluster analysis
- data mining
- density function
- multiple instance learning
- kernel density estimation
- machine learning
- data mining techniques
- principal component analysis
- semi supervised
- support vector machine
- knn
- reinforcement learning
- training data
- decision trees
- learning algorithm