"基于Hadoop的云计算平台下的大数据聚类研究"

With the rapid growth of internet technology, the size of datasets has increased significantly, reaching terabytes or even petabytes of data. Extracting meaningful and useful information from such vast amounts of data poses a new challenge for data mining. In response to this challenge, Hadoop, an open-source cloud computing platform, has emerged to provide users with powerful capabilities for data collection, storage, and computing. This paper, "计算机研究 -基于云计算平台Hadoop的聚类研究.pdf," focuses on the application of Hadoop in clustering analysis, an important technique in data mining. The study aims to explore how Hadoop can be utilized to perform clustering analysis on massive datasets efficiently and effectively. The abstract of the paper briefly summarizes the significance of the research, emphasizing the need for quick and efficient extraction of useful information from large datasets. It highlights the role of Hadoop as a cloud computing platform and its capabilities in data collection, storage, and computing. The abstract also underscores the importance of clustering analysis in data mining and sets the stage for the research to be discussed in the paper. In summary, the paper "计算机研究 -基于云计算平台Hadoop的聚类研究.pdf" is a valuable contribution to the field of computer research, providing insights into the use of Hadoop for clustering analysis in the context of large datasets. The abstract effectively outlines the key points of the research, setting the tone for the detailed discussion that follows in the paper.