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K-means clustering is a popular type of analytics algorithm that organizations can use to mine data, find similarities between data points, and uncover patterns therein. The sooner your servers can complete a k-means workload, the sooner your company can use the data it collects for business-critical endeavors.
Powerful servers earn their keep by analyzing data quickly—the more time your servers spend crunching numbers, the less time your business has to make critical decisions to stay ahead of your competition and extend the reach of your sales. Access our free whitepaper now to learn how to develop an effective k-means workload solution, all you have to do is take a quick survey to get started!