A comparative study of codification techniques for clustering heart disease database
A comparative study of codification techniques for clustering heart disease database
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DOI：
10.1016/j.bspc.2010.07.004
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Fátima Barceló-Rico;J. Diez;J. Bondia
中科院分区：
文献类型：
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作者：
Fátima Barceló-Rico;J. Diez;J. Bondia
本文比较了在心脏病数据库中分类属性编码的各种建议，以便数值聚类算法可以应用于它们。提出了一种基于极坐标的分类属性编码方法。这与文献中发现的其他编码和聚类混合数据库的方法进行了比较。我们的建议有很多优点：它相对容易理解和应用；输入矩阵的长度增量不会过大；所犯的错误也在控制之中。在这种情况下，提出的编码与著名的k-means算法相结合，并在心脏病数据库基准测试中显示出非常好的性能。
This paper compares various proposals for codifying categorical attributes in a heart disease database so that numerical clustering algorithms can be applied to them. An approach for the codification of categorical attributes based on polar coordinates is proposed. This is compared with other codifications and methods for clustering mixed databases found in the literature. Our proposal has many advantages: it is relatively easy to understand and apply; the increment in the length of the input matrix is not excessively large; and the committed error is under control. The proposed codification has been combined in this case with the well-known k-means algorithm and has shown a very good performance in a heart disease database benchmark.