Document worth reading: “High-Performance Support Vector Machines and Its Applications”

The help vector machines (SVM) algorithm is a popular classification strategy in data mining and machine learning. In this paper, we propose a distributed SVM algorithm and exhibit its use in lots of functions. The algorithm is named high-performance help vector machines (HPSVM). The most important contribution of HPSVM is two-fold. First, HPSVM offers a model new technique to distribute computations to the machines throughout the cloud with out shuffling the data. Second, HPSVM minimizes the inter-machine communications in an effort to maximise the effectivity. We apply HPSVM to some real-world classification points and consider it with the state-of-the-art SVM strategy carried out in R on a variety of public data models. HPSVM achieves comparable or increased outcomes. High-Performance Support Vector Machines and Its Applications