Hae-Sang Park
2009
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Whom Hae-Sang Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hae-Sang Park overall
- Iqbal H. Sarker
- Anastasia Pentina
- Erich Schubert
- Luca Pinzi
- Shuyang Zhao
- Zhuang Li
- Madeleine Udell
- Jie Tan
- Christoph H. Lampert
- Peter J. Rousseeuw
Papers from Hae-Sang Park's perspective
Ordered by how strongly the researchers Hae-Sang Park trusts endorse each paper. Same corpus, a different order for every researcher.
- Some methods for classification and analysis of multivariate observations
- Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
- A new partitioning around medoids algorithm
- Spatial clustering methods in data mining : A survey
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Et al
Their papers
- A simple and fast algorithm for K-medoids clustering (2009) — 2,087 citations