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So here's a one dimensional data set.
How can we deal with high dimensional data efficiently ?
Approximate nearest-neighbor search for high dimensional data.
His research often involves developing theoretical tools for learning patterns and structures in high dimensional data.
High dimensional data suffer from unwanted variation, such as the batch effects common in microarray data.
Hence, it is preferrable for high dimensional data sets.
Similar(52)
So it's very high-dimensional data.
& Hinton, G.E. Visualizing high-dimensional data using t-SNE.
"No scales; the variables aren't clear; three phony dimensions for one-dimensional data.
Gascón, A. et al. Privacy-preserving distributed linear regression on high-dimensional data.
van der Maaten, L. & Hinton, G. Visualizing high-dimensional data using t-SNE.
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