Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

It’s widely accepted today that the phrase “big ... new input data, it can be said to have learned. A supervised machine learning algorithm is one that requires some training in order to build a model ...

Operations on the RDDs can also be split across the cluster and executed in a parallel ... Ian Pointer is a senior big data and deep learning architect, working with Apache Spark and PyTorch.

This framework integrates the classical self-organizing feature map (SOM) neural network with the powerful capabilities of quantum computing, enabling efficient data clustering in an unsupervised ...

Aim To evaluate whether isometric strength tests were valid for the purposes of classifying wheelchair racers and whether cluster analysis of the strength measures produced a valid classification ...

Clustering was performed by combining Uniform ... Effective and standardized classification and prognostication systems on the basis of multimodal data analysis are crucial to improve the ...