Andy Song
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
Whom Andy Song trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ulrike von Luxburg (in Artificial Intelligence)
Papers from Andy Song's perspective
Ordered by how strongly the researchers Andy Song trusts endorse each paper. Same corpus, a different order for every researcher.
- Data clustering: a review
- A tutorial on spectral clustering
- BIRCH: an efficient data clustering method for very large databases
- The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering (Industrial Conference on Data Mining)
- Trajectory clustering: a partition-and-group framework (ACM SIGMOD Conference)
- TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering (Proceedings of the VLDB Endowment)
- Normalized cuts and image segmentation
- Algorithms for Clustering Data
- Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
- On Spectral Clustering: Analysis and an algorithm
Their papers
- Efficient agglomerative hierarchical clustering (2015) — 422 citations