Research on Cluster Analysis Method of Heterogeneous Data Resources Based on FCM

Authors

  • Xiaotao Xu Author

Keywords:

Heterogeneous data, FCM, cluster analysis.

Abstract

Cluster analysis of heterogeneous data has a wide range of applications, which is an important basic method of big data mining, and is also a hot research topic in the field of information sharing. In order to improve the Cluster analysis effect of massive heterogeneous data, two pretreatment steps, data preparation and dimensionality reduction, are adopted in this paper. Firstly, irrelevant elements are eliminated to reduce the computation of Cluster analysis of heterogeneous data resources. Then, FCM Cluster analysis concept is introduced to cluster analysis based on membership matrix of Euclidean distance. Finally, the grey prediction model is used to predict 
and analyze the data. Cluster analysis efficiency of massive heterogeneous data has important reference value for massive data mining in the era of big data.

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Published

13.11.2024

How to Cite

Research on Cluster Analysis Method of Heterogeneous Data Resources Based on FCM . (2024). International Journal of Information and Electronics Engineering, 14(3), 1-5. http://ijiee.org/index.php/ijiee/article/view/788