This paper uses K-means, BIRCH and CURE respectively to cluster the log CT image data, and analyzes their characters in execution time, quality of clustering and sensitivity to the parameters.

  • 分别用K-means,BIRCH,CURE对原木CT图像数据进行聚类,分析三者在聚类时间、聚类质量以及对参数的敏感程度的特征。

  • 互联网摘选 2025-01-20 11:55:49

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