一种快速空间聚类算法
일충쾌속공간취류산법
Rapid spatial clustering algorithm
  • 万方数据
    计算机应用研究 계산궤응용연구
    APPLICATION RESEARCH OF COMPUTERS
    2009年 8期 2858-2860 ,共3页

    李中志%汪学刚

    리중지%왕학강

    聚类%空间聚类%单维距离%空间密度 聚類%空間聚類%單維距離%空間密度
    취류%공간취류%단유거리%공간밀도
    clustering%spatial clustering%single dimensional distance%spatial density
    提出了一种基于空间单元单维运算的快速聚类算法SUSDC.该算法首先将被聚类的数据逐维划分成若干个不相交的空间单元;然后基于空间距离闻值判定相邻的空间单元是否合并,直到全部维处理完毕.实验结果验证了SUSDC算法运算速度快,能够处理不规则形状数据和高维数据,且具有对噪声数据不敏感的特点.
    제출료일충기우공간단원단유운산적쾌속취류산법SUSDC.해산법수선장피취류적수거축유화분성약간개불상교적공간단원;연후기우공간거리문치판정상린적공간단원시부합병,직도전부유처리완필.실험결과험증료SUSDC산법운산속도쾌,능구처리불규칙형상수거화고유수거,차구유대조성수거불민감적특점.
    This paper proposed a rapid clustering algorithm based on spatial unit single dimensional calculation (SUSDC). The algorithm firstly divided data to orthogonal spatial units, and then clustered spatial units by spatial distance threshold. Experimental results show that SUSDC algorithm can deal with clusters of complicated shaped and high-dimensional data, and it has high-efficient features and is not sensitive to noise data.
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