双向聚类方法 bi-clustering algorithm
According to the changes in the direction of spatial data can produce cluster, we provides a new spatial data clustering method based on direction, and design and implement direction clustering algorithm. The algorithm has been verified by experimental data.
根据空间数据的方向变化能够产生聚类这一特点,提出基于方向的空间数据聚类这一新方法,并设计和实现方向聚类算法,用实验数据对算法进行验证。
参考来源 - 矿山三维空间信息集成系统及其应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
聚类分析是数据挖掘的一个重要研究方向，而PAM算法是聚类算法中一个重要的方法。
Cluster is an important research direction and the PAM algorithm is one of the most important method.
基本蚁群聚类算法在计算相似度时，由于没有考虑相邻对象之间方向的影响，往往造成聚类速度缓慢甚至算法不收敛。
The basic ant colony clustering algorithm in the calculation of similarity, due to not take direction between adjacent objects, often caused by clustering algorithms do not even slow convergence.
首先证明了可以采用方向性聚类方法对稀疏混合数据进行处理分离出原数据。
The feasibility to decompose the mixing data into source by directional clustering was demonstrated.
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