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» Clustering by pattern similarity in large data sets
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SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
13 years 11 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny
SIGSOFT
2005
ACM
14 years 1 months ago
Detecting higher-level similarity patterns in programs
Cloning in software systems is known to create problems during software maintenance. Several techniques have been proposed to detect the same or similar code fragments in software...
Hamid Abdul Basit, Stan Jarzabek
INFOVIS
1999
IEEE
13 years 12 months ago
Cluster and Calendar Based Visualization of Time Series Data
A new method is presented to get insight into univariate time series data. The problem addressed here is how to identify patterns and trends on multiple time scales (days, weeks, ...
Jarke J. van Wijk, Edward R. van Selow
ICPR
2008
IEEE
14 years 2 months ago
Unsupervised clustering using hyperclique pattern constraints
A novel unsupervised clustering algorithm called Hyperclique Pattern-KMEANS (HP-KMEANS) is presented. Considering recent success in semisupervised clustering using pair-wise const...
Yuchou Chang, Dah-Jye Lee, James K. Archibald, Yi ...
ESANN
2000
13 years 9 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...