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» Classes and clusters in data analysis
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IWPC
2003
IEEE
15 years 3 months ago
Using Run-Time Data for Program Comprehension
Traditional approaches for program comprehension use static program analysis or dynamic program analysis in the form of execution traces. Our approach, however, makes use of runti...
Thomas Gschwind, Johann Oberleitner, Martin Pinzge...
ICTAI
2005
IEEE
15 years 3 months ago
Determining the Optimal Number of Clusters Using a New Evolutionary Algorithm
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
15 years 3 months ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 4 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
CF
2005
ACM
15 years 2 days ago
Balancing clustering-induced stalls to improve performance in clustered processors
Clustered processors lose performance as a result of clusteringinduced stalls. Such stalls are the result of distributed resources and cluster communication delays. Our performanc...
Amirali Baniasadi