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This problem was solved within the framework of the grant project "Solving ofproblems of cluster analysis with application of parallel algorithms and cloudtechnologies" in the Institute of Mathematics and Mathematical Modelling inAlmaty. The problem of cluster analysis for the large amount of data is veryimportant in different areas of science - genetics, biology, sociology etc. Atthe same time, such statistical known packages as STATISTICA, STADIA, SYSTATand others do not allow to solve large problems. The new algorithm that usesthe high processing power of GPUs for solving clustering problems by theK-means method was developed. This algorithm is implemented as a C++application in Microsoft Visual Studio 2010 with using the GPU Nvidia GeForce660. The developed software package for solving clustering problems by themethod of K - means with using GPUs allows us to handle up to 2 million recordswith number of features up to 25. The gain in the computing time is in factor5. We plan to increase this factor up to 20-30 after improving the algorithms.

Using of GPUs for cluster analysis of large data by K-means method