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机译:基于维数减少和相似度措施的多媒体数据库挖掘修改的k均值聚类
College of Electronics and Information Engineering Hubei Key Laboratory of Intelligent Wireless Communications South-Central University for Nationalities Wuhan China;
College of Electronics and Information Engineering Hubei Key Laboratory of Intelligent Wireless Communications South-Central University for Nationalities Wuhan China;
College of Electronics and Information Engineering Hubei Key Laboratory of Intelligent Wireless Communications South-Central University for Nationalities Wuhan China;
Multimedia data bases; Clustering; Mining; K means clustering; Optimization;
机译:基于维数减少和相似度措施的多媒体数据库挖掘修改的k均值聚类
机译:基于遗传算法的降维方法提高K-Means聚类性能:以医学数据集分类为例
机译:基于遗传算法的降维方法提高K-Means聚类性能:以医学数据集分类为例
机译:通过灵活的降维在多媒体数据库中基于EMD的高效相似性搜索
机译:可视数据挖掘:使用具有K均值聚类和颜色的平行坐标图来查找多维数据集中的相关性。
机译:高位二进制数据中基于位表的聚类和频繁封闭项集挖掘
机译:基于异构维数约简方法和依赖于上下文的相似度量的集成聚类