PRESS: A personalised approach for mining top-k groups of objects with subspace similarity.
Tahrima HashemLida RashidiLars KulikJames BaileyPublished in: Data Knowl. Eng. (2020)
Keyphrases
- similar objects
- similar patterns
- high similarity
- similarity measure
- subspace clusters
- d objects
- semantic labels
- multiple objects
- data objects
- structural similarity
- distance function
- euclidean distance
- computer vision
- high dimensional data
- input data
- spatial location
- subspace methods
- recommender systems
- feature vectors
- moving objects
- spatial proximity
- highly similar
- data structure
- clustering algorithm