Distributed Nearest Neighbor-Based Condensation of Very Large Data ...
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In this work, the parallel fast condensed nearest neighbor (PFCNN) rule, a distributed method for computing a consistent subset of a very large data set for ...
This paper presents a distributed training set consistent subset learning algorithm for the nearest neighbor rule, ex- hibiting high efficiency both in terms of ...
This work presents the parallel fast condensed nearest neighbor (PFCNN) rule, a distributed method for computing a consistent subset of a very large data ...
In this work, PFCNN, a distributed method for computing a consistent subset of very large data set for the nearest neighbor classification rule is presented ...
A distributed algorithm for computing a consistent subset of a very large data set for the nearest neighbor decision rule has been presented and it is shown ...
In this work, PFCNN, a distributed method for computing a consistent subset of very large data sets for the nearest neighbor decision rule is presented. In ...
Distributed Nearest Neighbor-Based Condensation of Very Large ...
dl.acm.org › doi › TKDE.2007.190665
In this work, PFCNN, a distributed method for computing a consistent subset of very large data set for the nearest neighbor classification rule is presented ...
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In this work, PFCNN, a distributed method for computing a consistent subset of very large data sets for the nearest neighbor decision rule is presented.
Nearest neighbor analysis with large datasets - Read the Docs
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The Balltree algorithm has some nice features, such as the ability to calculate the distance between neighbors with various different distance metrics. Most ...
Missing: Condensation | Show results with:Condensation
This work has two main objectives, namely, to introduce a novel algorithm, called the Fast Condensed Nearest Neighbor (FCNN) rule, for computing a training ...