Slawomir T. Wierzchon

Slawomir T. Wierzchon received M.Sc. and PhD. degrees from Warsaw University of Technology in 1974 and 1979 resp. As university professor he gave lectures in soft computing, machine learning, and Nature inspired algorithms at Bialystok University of Technology and University of Gdansk. Currently he works at the Institute of Computer Science of Polish Academy of Sciences. His research interests encompass data, text and Web mining, social network analysis and Nature inspired algorithms. He holds Habilitation degree in computer science (1977) and in 2003 he was awarded with the scientific title of Professor of Technical Sciences by the President of the Republic of Poland. He is an author of over 100 scientific papers published in international journals and conference proceedings. postal address: Institute of Computer Science Polish Academy of Sciences 01-248 Warsaw, Poland ul. Jana Kazimierza 5 e-mail: stw@ipipan.waw.pl

Publications

Ensemble Clustering Data Mining and Databases
Ensemble Clustering Data Mining and Databases
Slawomir T. Wierzchon. © 2019. 14 pages.
Standard clustering algorithms employ fixed assumptions about data structure. For instance, the k-means algorithm is applicable for spherical and linearly separable data clouds....
Ensemble Clustering Data Mining and Databases
Ensemble Clustering Data Mining and Databases
Slawomir T. Wierzchon. © 2018. 12 pages.
Standard clustering algorithms employ fixed assumptions about data structure. For instance, the k-means algorithm is applicable for spherical and linearly separable data clouds....
An Immune Inspired Algorithm for Learning Strategies in a Pursuit-Evasion Game
An Immune Inspired Algorithm for Learning Strategies in a Pursuit-Evasion Game
Malgorzata Lucinska, Slawomir T. Wierzchon. © 2012. 23 pages.
Multi-agent systems (MAS), consist of a number of autonomous agents, which interact with one-another. To make such interactions successful, they will require the ability to...
An Immune Inspired Algorithm for Learning Strategies in a Pursuit-Evasion Game
An Immune Inspired Algorithm for Learning Strategies in a Pursuit-Evasion Game
Malgorzata Lucinska, Slawomir T. Wierzchon. © 2009. 22 pages.
Multi-agent systems (MAS), consist of a number of autonomous agents, which interact with one-another. To make such interactions successful, they will require the ability to...