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» Algorithms for Clustering Data
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IJCAI
2003
13 years 11 months ago
Distributed Clustering Based on Sampling Local Density Estimates
Huge amounts of data are stored in autonomous, geographically distributed sources. The discovery of previously unknown, implicit and valuable knowledge is a key aspect of the expl...
Matthias Klusch, Stefano Lodi, Gianluca Moro
DAC
2001
ACM
14 years 10 months ago
High-Quality Operation Binding for Clustered VLIW Datapaths
Clustering is an effective method to increase the available parallelism in VLIW datapaths without incurring severe penalties associated with large number of register file ports. E...
Viktor S. Lapinskii, Margarida F. Jacome, Gustavo ...
KDD
2002
ACM
118views Data Mining» more  KDD 2002»
14 years 10 months ago
SECRET: a scalable linear regression tree algorithm
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
Alin Dobra, Johannes Gehrke
CIDU
2010
13 years 7 months ago
Optimal Partitions of Data In Higher Dimensions
Given any collection of data cells in a data space X, consider the problem of finding the optimal partition of the data cells into blocks which are unions of cells. The algorithms...
Bradley W. Jackson, Jeffrey D. Scargle, Chris Cusa...
ICPR
2002
IEEE
14 years 2 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