关键词：K—meanfl；医学数据聚类；自适应特征权重；聚类评价；混淆矩阵 [gap=1163]Key words：K-means；medical data clustering；AFW；cluster evaluation；confusion matrix
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gray cluster evaluation 灰色聚类评价
Grey cluster evaluation 灰色聚类评估
cluster evaluation model 聚类评价模型
grey cluster evaluation modes 灰色聚类评估模型
grey incidence cluster evaluation 灰色关联聚类评估
multi-layer fuzzy-cluster evaluation 模糊聚类评判
grey cluster synthetical evaluation 灰色聚类综合评价
Based on the present theories on grey cluster, a new grey cluster evaluation method is developed.
因此本文提出了一种新的灰色综合聚类方法。
In fuzzy synthetic evaluation and grey cluster evaluation, linear weighing method is commonly used for dealing with the relationship of each index.
在模糊综合评判和灰色聚类评价法中，各个指标间总是采用单一的线性加权的方法。
Compared with the previous elevation method, the gray cluster evaluation overcomes the strict numerical value limits and is a valuable evaluation method.
与以往的评价方法相比，灰色聚类方法克服了严格数值界限的弊病，是一种有价值的评价方法。
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