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Research and Implementation of Hybrid Clustering Algorithm in Big Data Processing

机译:大数据处理中混合聚类算法的研究与实现

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With the advent of the era of big data, data analysis and processing has become a hot topic of research, and data mining has become a top priority. Based on the discussion of clustering algorithm, this paper proposes a hybrid clustering algorithm. The algorithm solves the dilemma of relying too much on the initial center and falling into local optimum. The experimental results demonstrate the effectiveness and feasibility of the hybrid clustering algorithm.
机译:随着大数据时代的出现,数据分析和处理已成为研究的热门话题,数据挖掘已成为最优先事项。基于对聚类算法的讨论,本文提出了一种混合聚类算法。该算法解决了依赖于初始中心的困境并落入局部最佳状态。实验结果表明了混合聚类算法的有效性和可行性。

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