Mingchun Wang
Artificial Intelligence · 2011
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 — 5 citations into it
Whom Mingchun Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mingchun Wang's perspective
Ordered by how strongly the researchers Mingchun Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- A tutorial on spectral clustering
- Document clustering using locality preserving indexing (IEEE Transactions on Knowledge and Data Engineering)
- Similarity Measures for Categorical Data: A Comparative Evaluation (SDM)
- A k-mean clustering algorithm for mixed numeric and categorical data (Data & Knowledge Engineering)
- Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
- Algorithms for Clustering Data
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
- On Spectral Clustering: Analysis and an algorithm
- A global geometric framework for nonlinear dimensionality reduction.
Their papers
- Coupled nominal similarity in unsupervised learning (2011) — 90 citations