Christoph Raupach

2010

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 Christoph Raupach trusts overall

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

  1. Tian Zhang
  2. Sariel Har-Peled

Papers from Christoph Raupach's perspective

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

  1. Some methods for classification and analysis of multivariate observations
  2. BIRCH: A New Data Clustering Algorithm and Its Applications
  3. Approximate clustering via core-sets (Symposium on the Theory of Computing)
  4. On coresets for k-means and k-median clustering
  5. A local search approximation algorithm for k-means clustering (SCG '02)
  6. BIRCH: an efficient data clustering method for very large databases
  7. Some methods for classi cation and analysis of multivariate observations
  8. Optimal Time Bounds for Approximate Clustering
  9. Local search heuristic for k-median and facility location problems (Symposium on the Theory of Computing)
  10. A k-means clustering algorithm

Their papers