Scaling Average-Linkage via Sparse Cluster Embeddings.
Thomas LavastidaKefu LuBenjamin MoseleyYuyan WangPublished in: ACML (2021)
Keyphrases
- high dimensional
- clustering algorithm
- low dimensional
- manifold learning
- record linkage
- dimensionality reduction
- vector space
- sparse data
- single linkage
- content similarity
- compressive sensing
- euclidean space
- standard deviation
- sparse coding
- hierarchical clustering
- sparse representation
- high dimensional data
- clustering framework
- data objects
- random projections
- disjoint clusters
- subspace clustering
- data sets
- data points
- multiscale
- feature extraction
- feature selection
- genetic algorithm
- information retrieval