| Why so many clustering algorithms: a position paper V Estivill-Castro ACM SIGKDD Explorations Newsletter 4 (1), 65-75, 2002 | 1092 | 2002 |
| Algorithms and theory of computation handbook, volume 2: special topics and techniques MJ Atallah, M Blanton CRC press, 2009 | 690 | 2009 |
| A survey of adaptive sorting algorithms V Estivill-Castro, D Wood ACM Computing Surveys (CSUR) 24 (4), 441-476, 1992 | 337 | 1992 |
| Fast and robust general purpose clustering algorithms V Estivill-Castro, J Yang Data Mining and Knowledge Discovery 8 (2), 127-150, 2004 | 211* | 2004 |
| Cluster discovery techniques for exploratory spatial data analysis AT Murray, V Estivill-Castro International Journal of Geographical Information Science 12 (5), 431-443, 1998 | 170 | 1998 |
| AMOEBA: Hierarchical clustering based on spatial proximity using Delaunay diagram V Estivill-Castro, I Lee Proceedings of the 9th International Symposium on Spatial Data Handling …, 2000 | 169 | 2000 |
| Autoclust: Automatic clustering via boundary extraction for mining massive point-data sets V Estivill-Castro, I Lee Proceedings of the 5th International Conference on Geocomputation 20 (0), 0, 2000 | 158 | 2000 |
| Data swapping: Balancing privacy against precision in mining for logic rules V Estivill-Castro, L Brankovic DataWarehousing and Knowledge Discovery, 796-797, 1999 | 153 | 1999 |
| Cutting up is hard to do: The parameterised complexity of k-cut and related problems RG Downey, V Estivill-Castro, M Fellows, E Prieto, FA Rosamund Electronic Notes in Theoretical Computer Science 78, 209-222, 2003 | 149 | 2003 |
| Autoclust+: Automatic clustering of point-data sets in the presence of obstacles V Estivill-Castro, I Lee Temporal, Spatial, and Spatio-Temporal Data Mining, 133-146, 2001 | 145* | 2001 |
| Support vector clustering through proximity graph modelling J Yang, V Estivill-Castro, SK Chalup Neural Information Processing, 2002. ICONIP'02. Proceedings of the 9th …, 2002 | 139 | 2002 |
| Privacy issues in knowledge discovery and data mining L Brankovic, V Estivill-Castro Australian institute of computer ethics conference, 1999 | 134 | 1999 |
| Discovering associations in spatial data—an efficient medoid based approach V Estivill-Castrol, A Murray Research and Development in Knowledge Discovery and Data Mining, 110-121, 1998 | 127 | 1998 |
| A new efficient privacy-preserving scalar product protocol A Amirbekyan, V Estivill-Castro Proceedings of the sixth Australasian conference on Data mining and …, 2007 | 123 | 2007 |
| Data mining techniques for autonomous exploration of large volumes of geo-referenced crime data V Estivill-Castro, I Lee Proc. of the 6th International Conference on Geocomputation, 24-26, 2001 | 120 | 2001 |
| FPT is P-time extremal structure I V Estivill-Castro, MR Fellows, MA Langston, FA Rosamond Proc. ACiD 5, 1-41, 2005 | 101 | 2005 |
| Combining k-means and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering MZ Islam, V Estivill-Castro, MA Rahman, T Bossomaier Expert Systems with Applications 91, 402-417, 2018 | 98 | 2018 |
| Argument free clustering via boundary extraction for massive point-data Sets V Estivill-Castro, I Lee Computers, Environment and Urban Systems 26, 315-334, 2002 | 97* | 2002 |
| What effect does an animal robot called CuDDler have on the engagement and emotional response of older people with dementia? A pilot feasibility study W Moyle, C Jones, B Sung, M Bramble, S O’Dwyer, M Blumenstein, ... International Journal of Social Robotics 8, 145-156, 2016 | 96 | 2016 |
| Spatial clustering for data mining with genetic algorithms V Estivill-Castro, AT Murray Proceedings of the International ICSC Symposium on Engineering of …, 1997 | 92 | 1997 |
Rene HexelGriffith UniversityZweryfikowany adres z griffith.edu.au
