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1.FODFP-Stream computes the outlier measure through discovering and maintaining the frequent patterns dynamically, and can deal with the high dimensional categorical data streams effectively.
该算法通过动态发现和维护频繁模式来计算离群度,能够有效地处理高维类别属性数据流,并可进一步扩展到数值属性和混合属性数据流.收藏指正
2.This paper discusses the methods of similarity measurement of most clustering algorithms, and taking the type of attribute as a standard of choosing similarity, it expounds the methods used to measure numerical attribute, categorical attribute and mixed attribute.
讨论了在大多数聚类算法中的相似性测量方法,并以属性的类型作为选择相似性的标准,阐述了用于数值属性,符号属性及混合属性相似性测量方法。收藏指正
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