Osamu Hasegawa

Neural Networks · 2000–2006

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

Whom Osamu Hasegawa trusts overall

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

  1. Bernd Fritzke
  2. Teuvo Kohonen
  3. Tian Zhang
  4. Thomas Martinetz
  5. Anil K. Jain

Who trusts Osamu Hasegawa overall

  1. Nicolas P. Rougier
  2. Yann Boniface

Papers from Osamu Hasegawa's perspective

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

  1. Algorithms for Clustering Data
  2. Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps
  3. Data clustering: a review
  4. Self-organized formation of topographically correct feature maps
  5. The global k-means clustering algorithm (Pattern Recognition)
  6. Stochastic Approximation
  7. Self-organized formation of topologically correct feature maps
  8. BIRCH: an efficient data clustering method for very large databases
  9. 'Neural-gas' network for vector quantization and its application to time-series prediction
  10. A Growing Neural Gas Network Learns Topologies

Their papers