Design of intelligent k-means based on spark for big data clustering

I Kusuma, MA Ma'Sum, N Habibie… - … workshop on Big …, 2016 - ieeexplore.ieee.org
The growth of data has bring us to the big data generation where the amount of data cannot
be computed using conventional environment. There are a lot of computational environment …

From big data to smart data with the k-nearest neighbours algorithm

I Triguero, J Maillo, J Luengo, S García… - … on Internet of Things …, 2016 - ieeexplore.ieee.org
The k-nearest neighbours algorithm is one of the most widely used data mining models
because of its simplicity and accurate results. However, when it comes to deal with big …

[PDF][PDF] Nikolaos Nodarakis1, Angeliki Rapti1, Spyros Sioutas2, Athanasios K.

DT Tsakalidis, G Tzimas, Y Panagis - researchgate.net
A k-nearest neighbor (kNN) query determines the k nearest points, using distance metrics,
from a given location. An all k-nearest neighbor (AkNN) query constitutes a variation of a …