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Threshold Based Clustering Algorithm Analyzes Diabetic Mellitus

机译:基于阈值的聚类算法分析糖尿病Mellitus

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摘要

Diabetes Mellitus is caused due to disorders of metabolism and its one of the most common diseases in the world today, and growing. Threshold Based Clustering Algorithm (TBCA) is applied to medical data received from practitioners and presented in this paper. Medical data consist of various attributes. TBCA is formulated to effectually compute impactful attributes related to Mellitus, for further decisions. TBCAs primary focus is on computation of Threshold values, to enhance accuracy of clustering results.
机译:糖尿病是由于代谢障碍和世界上最常见的疾病引起的,而且增长。 基于阈值的聚类算法(TBCA)应用于从从业者收到的医疗数据,并在本文中呈现。 医疗数据包括各种属性。 制定TBCA以有效地计算与MELLITUS相关的有影响力的属性,以获得进一步的决定。 TBCAS主焦点是计算阈值,以增强聚类结果的准确性。

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