UCI datasets

The UCI dataset is a data repository maintained and made available by the University of California, Irvine that is widely used for machine learning and data mining research. The dataset covers a wide range of fields and topics, including but not limited to medicine, biology, social sciences, physics, engineering, and more. The uniqueness of this dataset is that it contains data from multiple different domains and sources, allowing researchers to explore and analyze the data from different perspectives and contexts. This experiment applies it to cluster analysis, and the main datasets used are eight synthetic datasets and six real datasets.

UCI数据集（UCI Dataset）是由加利福尼亚大学欧文分校维护并对外发布的数据集仓库，广泛应用于机器学习与数据挖掘研究。该数据集覆盖了丰富的研究领域与主题，范畴涵盖但不限于医学、生物学、社会科学、物理学、工程学等多个方向。此数据集的独特之处在于其收录了来自多个不同领域与来源的数据，能够支持研究人员从多元视角与应用场景出发，对数据进行探索与分析。本实验将该数据集应用于聚类分析任务，所使用的核心数据集包含8个合成数据集与6个真实数据集。