Vladimir Estivill-Castro
Vladimir Estivill-Castro
Professor of Computer Science
Verified email at - Homepage
Cited by
Cited by
Why so many clustering algorithms: a position paper
V Estivill-Castro
ACM SIGKDD Explorations Newsletter 4 (1), 65-75, 2002
Algorithms and theory of computation handbook, volume 2: special topics and techniques
MJ Atallah, M Blanton
CRC press, 2009
A survey of adaptive sorting algorithms
V Estivill-Castro, D Wood
ACM Computing Surveys (CSUR) 24 (4), 441-476, 1992
Fast and robust general purpose clustering algorithms
V Estivill-Castro, J Yang
Data Mining and Knowledge Discovery 8 (2), 127-150, 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
Autoclust: Automatic clustering via boundary extraction for mining massive point-data sets
V Estivill-Castro, I Lee
In Proceedings of the 5th International Conference on Geocomputation, 2000
Cluster discovery techniques for exploratory spatial data analysis
AT Murray, V Estivill-Castro
International Journal of Geographical Information Science 12 (5), 431-443, 1998
Data swapping: Balancing privacy against precision in mining for logic rules
V Estivill-Castro, L Brankovic
DataWarehousing and Knowledge Discovery, 796-797, 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
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
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
Privacy issues in knowledge discovery and data mining
L Brankovic, V Estivill-Castro
Australian institute of computer ethics conference, 1999
A new efficient privacy-preserving scalar product protocol
A Amirbekyan, V Estivill-Castro
Proceedings of the sixth Australasian conference on Data mining and …, 2007
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
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
FPT is P-time extremal structure I
V Estivill-Castro, MR Fellows, MA Langston, FA Rosamond
Proc. ACiD 5, 1-41, 2005
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
Spatial clustering for data mining with genetic algorithms
V Estivill-Castro, AT Murray
Proceedings of the International ICSC Symposium on Engineering of …, 1997
The undirected feedback vertex set problem has a poly (k) kernel
K Burrage, V Estivill-Castro, M Fellows, M Langston, S Mac, F Rosamond
Parameterized and Exact Computation, 192-202, 2006
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
The system can't perform the operation now. Try again later.
Articles 1–20