本发明涉及一种融合轨迹时空距离和SNNDPC的出租出行频繁模式挖掘方法,包括:获取轨迹数据,剔除重复记录和异常的数据并补全缺失数据;对研究区域进行网格化处理,任取不同的2个网格,提取以这两个网格所在区域为起终点的所有轨迹,构建轨迹子数据集;基于改进的Hausdorff算法度量轨迹的空间位置相似性;基于改进的LCSS算法度量轨迹...
Call theSNNDPC()with parametersk,n,d,nc, anddata. The function will return two pointers, the centroids and the assignment. Both are a 1D array. Both are created bynew, you need to manually delete them to prevent memory leak. Contact ...
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An over-sampling method, SD-CSMOTE, is proposed to address the problem of intra-class imbalance in data. First, the minority samples are clustered via the shared nearest neighbour-density peak clustering method. The sample density within each cluster is then determined using the kernel density ...