Kefu Lu

2017

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 Kefu Lu's perspective

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

  1. Data clustering: a review
  2. Least squares quantization in PCM
  3. LOF: identifying density-based local outliers
  4. Clustering Data Streams: Theory and Practice
  5. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
  6. A local search approximation algorithm for k-means clustering (SCG '02)
  7. LOCI: fast outlier detection using the local correlation integral (Proceedings / International Conference on Data Engineering)
  8. Mining distance-based outliers in near linear time with randomization and a simple pruning rule (Knowledge Discovery and Data Mining)
  9. Scalability for clustering algorithms revisited
  10. k-means++: the advantages of careful seeding

Their papers