Richi Nayak

2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Richi Nayak trusts

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

  1. Peter J. Rousseeuw (in Evaluation & Benchmarks)

Papers from Richi Nayak's perspective

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

  1. k-means++: the advantages of careful seeding
  2. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
  3. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  4. Mining user similarity based on location history (ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems)
  5. Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications
  6. Sensor Fusion for Public Space Utilization Monitoring in a Smart City
  7. Smart Tourist - Passive Mobility Tracking Through Mobile Application
  8. Spatial and Temporal Analysis of Urban Space Utilization with Renewable Wireless Sensor Network
  9. Fusing Similarity-Based Sequence and Dead Reckoning for Indoor Positioning Without Training
  10. How slow is the k-means method? (SCG '06)

Their papers