Lukas Fuhrimann

2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Lukas Fuhrimann trusts overall

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

1. Teuvo Kohonen
2. Leland McInnes
3. John Healy

Who trusts Lukas Fuhrimann overall

1. Leland McInnes
2. John Healy

Papers from Lukas Fuhrimann's perspective

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

1. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
2. Self-organized formation of topologically correct feature maps
3. Analysis of a complex of statistical variables into principal components.
4. A Nonlinear Mapping for Data Structure Analysis
5. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
6. On Spectral Clustering: Analysis and an algorithm
7. Columbia Object Image Library (COIL100)
8. An Investigation of Practical Approximate Nearest Neighbor Algorithms
9. A Stochastic Approximation Method
10. This PDF file includes: Materials and Methods

Their papers

• Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics (2018) — 22 citations