Ville Hautamäki

International Conference on Pattern Recognition · 2004–2006

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Ville Hautamäki trusts overall

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

1. Tian Zhang
2. Peter J. Rousseeuw
3. Raghu Ramakrishnan
4. Arthur P. Dempster
5. Miron Livny
6. Martin Ester
7. Rajeev Rastogi
8. Nan M. Laird
9. Ismo Kärkkäinen
10. Robert M. Gray

Who trusts Ville Hautamäki overall

1. Animesh Patcha
2. Jung-Min "Jerry" Park
3. Mengye Ren
4. Pasi Fränti

Papers from Ville Hautamäki's perspective

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

1. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
2. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
3. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
4. An Algorithm for Finding Best Matches in Logarithmic Expected Time
5. BIRCH: A New Data Clustering Algorithm and Its Applications
6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
7. A comparative study of RNN for outlier detection in data mining (IEEE International Conference on Data Mining. Proceedings)
8. An Algorithm for Vector Quantizer Design
9. Outlier Detection Using k-Nearest Neighbour Graph (International Conference on Pattern Recognition)
10. Hierarchical Grouping to Optimize an Objective Function

Their papers

• Improving K-Means by Outlier Removal (2005) — 144 citations
• Fast Agglomerative Clustering Using a k-Nearest Neighbor Graph (2006) — 307 citations
• Outlier Detection Using k-Nearest Neighbour Graph (2004) — 402 citations