Duncan E. Astle

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Duncan E. Astle trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Leland McInnes
  2. Joseph B. Kruskal
  3. Peter J. Rousseeuw
  4. John Healy

Papers from Duncan E. Astle's perspective

Ordered by how strongly the researchers Duncan E. Astle trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Scikit-learn: Machine Learning in Python
  2. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  3. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
  4. hdbscan: Hierarchical density based clustering (Journal of Open Source Software)
  5. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  6. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
  7. Data clustering: a review
  8. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
  9. Estimating the number of clusters in a dataset via the gap statistic
  10. Why Most Published Research Findings Are False

Their papers