关键词 : 最小张树 ; 属性聚类 ; 相似度 ; 接触度 [gap=718]Keywords: m inim um spanning tree; attribute cluster; sim ilarity; contact degree
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Differential coefficient of fractal dimension; fuzzy identify; reasoning frame; attribute clustering; VC theory; SVM leaming; neurai network; three layered ANN caPacity; quadratic mapping.
分维微分; 模糊判别; 推理框架; 属性聚类; VC理论; SVM学 习; 神经网络; 三层ANN容量; 二次型映射。
参考来源 - 沉积相综合分析方法研究及软件研制·2,447,543篇论文数据，部分数据来源于NoteExpress
在属性测度概念的基础上，运用属性聚类网络方法解决模式识别问题。
Based on concepts of attribute measurement, we used attribute clustering network approach to resolve some problems of pattern recognition.
基于一种用于混合属性数据的距离定义和改进的最近邻分类方法，提出了一种基于聚类的有指导的入侵检测方法。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
文中提出了一种基于DBSCAN的算法，可以处理非空间属性，同时又可以加快聚类的速度。
Proposes an improved DBSCAN algorithm which can handle non-spatial properties and greatly accelerate the speed of clustering.
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