Monotonic Datasets

该数据集包含了12个单调数据集，用于测试单调方法的能力。这些数据集在三种不同的约束条件集（分别为数据集大小的10%、15%、20%）下进行了测试，并且应用了标准化处理。任务的目的是进行带有背景知识的聚类分析。

This dataset comprises 12 monotonic datasets intended to evaluate the performance of monotonic methods. All datasets were tested under three distinct constraint sets, with each set corresponding to 10%, 15%, and 20% of the respective dataset size, and were standardized. The task aims to conduct cluster analysis integrated with background knowledge.