Christiane Lammersen

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.

Papers from Christiane Lammersen's perspective

Ordered by how strongly the researchers Christiane Lammersen 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. A local search approximation algorithm for k-means clustering (SCG '02)
  5. BIRCH: an efficient data clustering method for very large databases
  6. On coresets for k-means and k-median clustering
  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