In light of the remarkable diversity of data, arises an interesting and challenging problem of their description and concise interpretation. In a nutshell, in the proposed description pursued in this study, we consider a framework of information granules. The study develops a general scheme composed of two functional phases: (i) clustering data and features forming segments of original data and delivering a meaningful partition of data, and (ii) development of information granules. In both phases, we discuss a suite of performance indexes quantifying the quality of segments of data and the resulting information granules. Along this line, discussed are collections of information granules and their mutual relationships. A series of publicly available data sets is used in the experiments—their granular signature is quantified, and the quality of these findings is analyzed.

鉴于数据的显着多样性，在描述和简洁解释方面出现了一个有趣且具有挑战性的问题。简而言之，在本研究的建议描述中，我们考虑了信息颗粒的框架。该研究提出了一个由两个功能阶段组成的总体方案：（i）聚类数据和形成原始数据段并提供有意义的数据分区的特征，以及（ii）信息颗粒的开发。在这两个阶段中，我们都会讨论一组性能指标，这些指标可量化数据段和所产生的信息粒度的质量。沿着这条路线，讨论了信息颗粒及其相互关系的集合。实验中使用了一系列公开可用的数据集-量化了他们的颗粒状签名，