Title :
Clustering Application Benchmark
Author :
Oguz Altun;Nilgun Dursunoglu;M. Fatih Amasyali
Author_Institution :
Computer Engineering Department, Yildiz Technical University, 34349 TURKEY. phone: +90-212-2597070
Abstract :
An application benchmark based on a set of clustering algorithms is described in this paper. The details of algorithms (K-means online, K-means batch, SOM-1 dimension, SOM-2 dimension, hierarchical K-means online and hierarchical SOM-1 dimension) are given. The code provided complies with ANSI C specifications, as a result is highly portable. The benchmark has been tested on various platforms using different compilers
Keywords :
"Clustering algorithms","Benchmark testing","Earthquakes","Spatial databases","Plants (biology)","Animals","Cities and towns","Computer languages","Credit cards"
Conference_Titel :
Workload Characterization, 2006 IEEE International Symposium on
Print_ISBN :
1-4244-0508-4
DOI :
10.1109/IISWC.2006.302742
