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» CURE: An Efficient Clustering Algorithm for Large Databases
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129
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SEBD
1996
94views Database» more  SEBD 1996»
15 years 4 months ago
Efficient Algorithm for determining the Optimal Execution Strategy for Path Queries in OODBS
Abstract. To select an optimal query evaluation strategy for a path query in an object-oriented database system one has to exploit the available index structures on the path. In a ...
Weimin Chen, Karl Aberer
130
Voted
CIDM
2007
IEEE
15 years 9 months ago
Scalable Clustering for Large High-Dimensional Data Based on Data Summarization
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
132
Voted
KAIS
2006
110views more  KAIS 2006»
15 years 3 months ago
Multi-step density-based clustering
Abstract. Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex dista...
Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfei...
120
Voted
BMCBI
2007
102views more  BMCBI 2007»
15 years 3 months ago
Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
Luis A. Diago, Persy Morell, Longendri Aguilera, E...
ICPR
2002
IEEE
15 years 8 months ago
A Large Scale Clustering Scheme for Kernel K-Means
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
Rong Zhang, Alexander I. Rudnicky