Jan 3, 2018 · We introduce automatically determining the cluster centers into the KNN in training process. Namely, big data samples are divided into several ...
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The k-means algorithm divides a set of N samples X into K disjoint clusters C , each described by the mean μ j of the samples in the cluster. The means are ...
Missing: double ACC
Li, H., Li, H., and Wei, K., 2018. Automatic fast double KNN classification algorithm based on ACC and hierarchical clustering for big data. International ...
Automatic fast double KNN classification algorithm based on ACC and hierarchical clustering for big data ... cluster centers and hierarchical clustering ...
This paper proposes a new approach which is based on sorting the feature vectors of training data in a binary search tree to accelerate big data classification ...
Wei, “Automatic fast double KNN classification algorithm based on ACC and hierarchical clustering for big data,” International Journal of Communication ...
Automatic fast double KNN classification algorithm based on ACC and hierar- chical clustering for big data. International Journal of Communication Systems ...
In this paper, we demonstrate that the reduction rate and the classification accuracy of PSC can be improved by generating a larger number of clusters. Moreover ...
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Optimized Support Vector Machine for Big Data Classification NPC
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May 17, 2023 · Automatic fast double KNN classification algorithm based on ACC and hierarchical clustering for big data. ... classification: towards smart data ...
Automatic fast double KNN classification algorithm based on ACC and hierarchical clustering for big data. International Journal of Communication Systems, 31 ...