| Outlier detection using k-nearest neighbour graph V Hautamäki, I Kärkkäinen, P Fränti IAPR International Conference on Pattern Recognition (ICPR) 3, 430-433, 2004 | 727 | 2004 |
| K-means properties on six clustering benchmark datasets P Fränti, S Sieranoja Applied Intelligence, 1-17, 2018 | 564 | 2018 |
| How much can k-means be improved by using better initialization and repeats? P Fränti, S Sieranoja Pattern Recognition 93, 95-112, 2019 | 466 | 2019 |
| Iterative shrinking method for clustering problems P Fränti, O Virmajoki Pattern Recognition 39 (5), 761-775, 2006 | 423 | 2006 |
| Fast agglomerative clustering using a k-nearest neighbor graph P Franti, O Virmajoki, V Hautamaki IEEE transactions on pattern analysis and machine intelligence 28 (11), 1875 …, 2006 | 379 | 2006 |
| Real-time speaker identification and verification T Kinnunen, E Karpov, P Franti IEEE Transactions on Audio, Speech, and Language Processing 14 (1), 277-288, 2005 | 313 | 2005 |
| Balanced K-Means for Clustering MI Malinen, P Fränti Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2014 | 224 | 2014 |
| Set matching measures for external cluster validity M Rezaei, P Fränti IEEE transactions on knowledge and data engineering 28 (8), 2173-2186, 2016 | 209 | 2016 |
| Eye-movements as a biometric R Bednarik, T Kinnunen, A Mihaila, P Fränti Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland …, 2005 | 204 | 2005 |
| Improving k-means by outlier removal V Hautamäki, S Cherednichenko, I Kärkkäinen, T Kinnunen, P Fränti Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland …, 2005 | 194 | 2005 |
| Outlier detection: how to threshold outlier scores? J Yang, S Rahardja, P Fränti Proceedings of the international conference on artificial intelligence …, 2019 | 189 | 2019 |
| A review of motion planning algorithms for intelligent robots C Zhou, B Huang, P Fränti Journal of Intelligent Manufacturing 33 (2), 387-424, 2022 | 187 | 2022 |
| Compression of digital images by block truncation coding: a survey P Fränti, O Nevalainen, T Kaukoranta The Computer Journal 37 (4), 308-332, 1994 | 183 | 1994 |
| Time-series clustering by approximate prototypes V Hautamaki, P Nykanen, P Franti 2008 19th International conference on pattern recognition, 1-4, 2008 | 181 | 2008 |
| Randomised local search algorithm for the clustering problem P Fränti, J Kivijärvi Pattern Analysis & Applications 3, 358-369, 2000 | 181 | 2000 |
| WB-index: A sum-of-squares based index for cluster validity Q Zhao, P Fränti Data & Knowledge Engineering 92, 77-89, 2014 | 175 | 2014 |
| Knee point detection in BIC for detecting the number of clusters Q Zhao, V Hautamaki, P Fränti International conference on advanced concepts for intelligent vision systems …, 2008 | 174 | 2008 |
| Genetic algorithms for large-scale clustering problems P Fränti, J Kivijärvi, T Kaukoranta, O Nevalainen The Computer Journal 40 (9), 547-554, 1997 | 145 | 1997 |
| A fast minimum spanning tree algorithm based on K-means C Zhong, M Malinen, D Miao, P Fränti Information Sciences 295, 1-17, 2015 | 137 | 2015 |
| Sum-of-squares based cluster validity index and significance analysis Q Zhao, M Xu, P Fränti International conference on adaptive and natural computing algorithms, 313-322, 2009 | 135 | 2009 |
Tomi KinnunenProfessor, University of Eastern FinlandVerified email at uef.fi
