ExClus: Explainable Clustering on Low-dimensional Data Representations.
Xander VankwikelbergeBo KangEdith HeiterJefrey LijffijtPublished in: CoRR (2021)
Keyphrases
- data representations
- low dimensional
- data representation
- dimensionality reduction
- high dimensional data
- data points
- high dimensional
- similarity search
- xml documents
- machine learning
- principal component analysis
- distance function
- feature selection
- query processing
- clustering algorithm
- nearest neighbor search
- pairwise
- feature space
- unsupervised learning
- data analysis
- search algorithm
- support vector
- metric space
- input space