Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform.
Felix BoruttaDaniyal KazempourFelix MathyPeer KrögerThomas SeidlPublished in: PAKDD (1) (2020)
Keyphrases
- hough transform
- arbitrarily oriented
- subspace clusters
- data streams
- correlation clustering
- subspace clustering
- straight line
- hough space
- line detection
- circle detection
- data sets
- image processing
- frequent itemsets
- multi dimensional
- outlier detection
- constraint satisfaction
- high dimensional data
- markov random field
- computer vision