K. Hino
Knowledge Discovery and Data Mining · 2007
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom K. Hino trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts K. Hino overall
Papers from K. Hino's perspective
Ordered by how strongly the researchers K. Hino trusts endorse each paper. Same corpus, a different order for every researcher.
- Normalized cuts and image segmentation
- On Spectral Clustering: Analysis and an algorithm
- Spectral Relaxation for K-means Clustering (Neural Information Processing Systems)
- K-means clustering via principal component analysis (International Conference on Machine Learning)
- Constrained K-means Clustering with Background Knowledge (International Conference on Machine Learning)
- Kernel k-means: spectral clustering and normalized cuts
- Clustering data streams (Proceedings 41st Annual Symposium on Foundations of Computer Science)
- Incremental clustering and dynamic information retrieval
- Learning Spectral Clustering, With Application To Speech Separation (Journal of machine learning research)
- A Framework for Clustering Evolving Data Streams
Their papers
- Evolutionary spectral clustering by incorporating temporal smoothness (2007) — 413 citations