Kamil Swierkot

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 Kamil Swierkot trusts overall

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

  1. Tian Zhang

Papers from Kamil Swierkot's perspective

Ordered by how strongly the researchers Kamil Swierkot 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. On coresets for k-means and k-median clustering
  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