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Vladimir Estivill-Castro
Vladimir Estivill-Castro
Professor of Computer Science
Verified email at upf.edu - Homepage
Title
Cited by
Cited by
Year
Why so many clustering algorithms: a position paper
V Estivill-Castro
ACM SIGKDD Explorations Newsletter 4 (1), 65-75, 2002
10842002
Algorithms and theory of computation handbook, volume 2: special topics and techniques
MJ Atallah, M Blanton
CRC press, 2009
6962009
A survey of adaptive sorting algorithms
V Estivill-Castro, D Wood
ACM Computing Surveys (CSUR) 24 (4), 441-476, 1992
3381992
Fast and robust general purpose clustering algorithms
V Estivill-Castro, J Yang
Data Mining and Knowledge Discovery 8 (2), 127-150, 2004
208*2004
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
1692000
Cluster discovery techniques for exploratory spatial data analysis
AT Murray, V Estivill-Castro
International Journal of Geographical Information Science 12 (5), 431-443, 1998
1671998
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
1602000
Data swapping: Balancing privacy against precision in mining for logic rules
V Estivill-Castro, L Brankovic
DataWarehousing and Knowledge Discovery, 796-797, 1999
1551999
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
1472003
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
143*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
1392002
Privacy issues in knowledge discovery and data mining
L Brankovic, V Estivill-Castro
Australian institute of computer ethics conference, 1999
1341999
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
1291998
A new efficient privacy-preserving scalar product protocol
A Amirbekyan, V Estivill-Castro
Proceedings of the sixth Australasian conference on Data mining and …, 2007
1232007
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
1192001
FPT is P-time extremal structure I
V Estivill-Castro, MR Fellows, MA Langston, FA Rosamond
Proc. ACiD 5, 1-41, 2005
1012005
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
98*2002
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
972018
Spatial clustering for data mining with genetic algorithms
V Estivill-Castro, AT Murray
Proceedings of the International ICSC Symposium on Engineering of …, 1997
931997
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
912016
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