The unceasing increase of data quantity severely limits the wide application of mature classification algorithms due to the unacceptable execution time and the insufficient memory. How to fast ...
Cluster analysis is a widely used unsupervised learning technique designed to classify samples on the basis of their similarity 1. This technique presents a challenging problem in data mining and ...
The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that there was no universal way to solve it. Instead, they found such a way. If ...