Sami Sieranoja, PhD.
Postdoctoral researcher

Location:
University of Eastern Finland
School of Computing
Sami Sieranoja
Joensuu, Finland
Phone: +358-(0)405929966
Email:



Publications

[1] Pasi Fränti, Sami Sieranoja, and Tiina Laatikainen. Designing a clustering algorithm for optimizing health station locations. International Journal of Health Geographics, 24(1):4, 2025.
[2] Sami Sieranoja and Pasi Fränti. Fast agglomerative clustering using approximate traveling salesman solutions. Journal of Big Data, 12(1):21, 2025.
[3] Pasi Fränti and Sami Sieranoja. Clustering accuracy. Applied Computing and Intelligence, 4(1):24--44, 2024.
[4] Rieke de Maeyer, Sami Sieranoja, and Pasi Fränti. Balanced k-means revisited. Applied Computing and Intelligence, 3(2):145--179, 2023.
[5] Elina Rautiainen, Aapeli Leminen, Miika Linna, Sami Sieranoja, Maija Toivakka, Solja Niemelä, Kristiina Kuussaari, and Tiina Laatikainen. Päihdediagnoosien alueellisen esiintyvyyden erot ja hoidon kokonaiskustannukset. 2022.
[6] Pasi Fränti, Sami Sieranoja, Katja Wikström, Tiina Laatikainen, et al. Clustering diagnoses from 58 million patient visits in finland between 2015 and 2018. JMIR Medical Informatics, 10(5):e35422, 2022.
[7] Tiina Laatikainen, Sami Sieranoja, Aapeli Leminen, Teppo Repo, and Maija Toivakka. Vakavan covid-19-tautimuodon riskiryhmien määrittely. 2020.
[8] Sami Sieranoja and Pasi Fränti. Adapting k-means for graph clustering. Knowledge and Information Systems, pages 1--28, 2021.
[9] Sami Sieranoja and Pasi Fränti. Fast and general density peaks clustering. Pattern Recognition Letters, 2019.
[10] Pasi Fränti and Sami Sieranoja. How much k-means can be improved by using better initialization and repeats? Pattern Recognition, 2019.
[11] Sami Sieranoja, Md Sahidullah, Tomi Kinnunen, Jukka Komulainen, and Abdenour Hadid. Audiovisual synchrony detection with optimized audio features. In 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP), pages 377--381. IEEE, 2018.
[12] Sami Sieranoja and Pasi Fränti. Constructing a high-dimensional k nn-graph using a z-order curve. Journal of Experimental Algorithmics (JEA), 23(1):1--9, 2018.
[13] Sami Sieranoja and Pasi Fränti. Fast random pair divisive construction of knn graph using generic distance measures. In Proceedings of the 2018 International Conference on Big Data and Computing, pages 95--98. ACM, 2018.
[14] Pasi Fränti and Sami Sieranoja. K-means properties on six clustering benchmark datasets. Applied Intelligence, 48(12):4743--4759, 2018.
[15] Sami Sieranoja and Pasi Fränti. Random projection for k-means clustering. In International Conference on Artificial Intelligence and Soft Computing, pages 680--689. Springer, 2018.
[16] Pasi Fränti and Sami Sieranoja. Dimensionally distributed density estimation. In International Conference on Artificial Intelligence and Soft Computing, pages 343--353. Springer, 2018.
[17] Sami Sieranoja. High dimensional knn-graph construction using space filling curves. Master's thesis, Itä-Suomen yliopisto, 2015.
[18] Sami Sieranoja, Tomi Kinnunen, and Pasi Fränti. Gps trajectory biometrics: From where you were to how you move. In Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), pages 450--460. Springer, 2016.

Software

Github profile

Also in github:

Teaching

Clustering methods (exercises), University of Eastern Finland, Spring 2017.
Project work course, University of Eastern Finland, 2017-2018.
Design and analysis of algorithms (exercises), University of Eastern Finland, 2018,2019.
Introduction to Artificial Intelligence, University of Eastern Finland, 2025.

Updated 18.9.2018