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» Distributed Data Clustering
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155
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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 5 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
140
Voted
KDD
1999
ACM
166views Data Mining» more  KDD 1999»
15 years 8 months ago
CACTUS - Clustering Categorical Data Using Summaries
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
150
Voted
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
15 years 8 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
ICPR
2002
IEEE
16 years 4 months ago
Fast Hierarchical Clustering Based on Compressed Data
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Erendira Rendon, Ricardo Barandela
123
Voted
ICCS
2004
Springer
15 years 9 months ago
Hierarchical Matrix-Matrix Multiplication Based on Multiprocessor Tasks
We consider the realization of matrix-matrix multiplication and propose a hierarchical algorithm implemented in a task-parallel way using multiprocessor tasks on distributed memory...
Sascha Hunold, Thomas Rauber, Gudula Rünger