Iñigo Perona

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Iñigo Perona trusts

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

  1. Marina Meila (in Artificial Intelligence)
  2. Jaka Demsar (in Evaluation & Benchmarks)

Papers from Iñigo Perona's perspective

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

  1. Algorithms for Clustering Data
  2. A Stability Based Method for Discovering Structure in Clustered Data (Pacific Symposium on Biocomputing)
  3. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  4. Comparing Clusterings by the Variation of Information (Annual Conference Computational Learning Theory)
  5. Statistical Comparisons of Classifiers over Multiple Data Sets
  6. Performance Evaluation of Some Clustering Algorithms and Validity Indices (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  7. A new cluster validity measure and its application to image compression (Pattern Analysis and Applications)
  8. On Clustering Validation Techniques
  9. Clustering validity assessment: finding the optimal partitioning of a data set (Proceedings 2001 IEEE International Conference on Data Mining)
  10. An examination of indexes for determining the number of clusters in binary data sets (Psychometrika)

Their papers