机构地区: 东莞理工学院计算机学院
出 处: 《科学技术与工程》 2013年第19期5696-5701,共6页
摘 要: 在K近邻和逆K近邻理论基础上提出了K近邻团的概念。通过度量对象间的相似度,任意两个元素都互为K近邻和逆K近邻的对象集合构成一个K近邻团。利用同一个K近邻团中的对象彼此都具有较高相似性的特点,选取不同的K值对目标集合进行聚类。通过实验证明了该方法的有效性。 The concept of k-nearest clique is proposed based on k-nearest neighbors and reversed k-nearest neighbors. To construct k-nearest clique, the similarity between objects and combination all the objects is measured which be k-nearest neighbors and reversed k-nearest neighbors pair wise. Because all the objects in the same clique have a high similarity to each other, the right k can be selected to clustering the object set. The experience shows the effectiveness of the algorithm.
领 域: [自动化与计算机技术] [自动化与计算机技术]