Haitao Yang
ET Journal · with Yuan · 2019
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Haitao Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Haitao Yang overall
Papers from Haitao Yang's perspective
Ordered by how strongly the researchers Haitao Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- An Efficient k-Means Clustering Algorithm: Analysis and Implementation
- Estimating the number of clusters in a dataset via the gap statistic
- Constrained K-means Clustering with Background Knowledge (International Conference on Machine Learning)
- Efficient clustering of high-dimensional data sets with application to reference matching (Knowledge Discovery and Data Mining)
- An efficient, partitioned ensemble algorithm for simulating ensembles of evolutionary MHD flows at low magnetic Reynolds number
- Regression Shrinkage and Selection via the Lasso
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Max-imum Likelihood from Incomplete Data
- The Elements of Statistical Learning
- Model selection and estimation in regression with grouped variables
Their papers
- Research on K-Value Selection Method of K-Means Clustering Algorithm (2019) — 810 citations