SUMMARY Clustering is one of the most common techniques used in data analysis to discover hidden structures by grouping together data points that are similar in some measure into clusters. Although there are many programs available for performing clustering, a single web resource that provides both state-of-the-art clustering methods and interactive visualizations is lacking. ClusterEnG (acronym for Clustering Engine for Genomics) provides an interface for clustering big data and interactive visualizations including 3D views, cluster selection and zoom features. ClusterEnG also aims at educating the user about the similarities and differences between various clustering algorithms and provides clustering tutorials that demonstrate potential pitfalls of each algorithm. The web resource will be particularly useful to scientists who are not conversant with computing but want to understand the structure of their data in an intuitive manner. AVAILABILITY ClusterEnG is part of a bigger project called KnowEnG (Knowledge Engine for Genomics) and is available at http://education.knoweng.org/clustereng. CONTACT songi@illinois.edu.

中文翻译：

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ClusterEnG：一种交互式教育网络资源，用于对高维数据进行聚类和可视化。

总结 聚类是数据分析中最常用的技术之一，通过将在某些度量上相似的数据点组合成集群来发现隐藏结构。尽管有许多程序可用于执行聚类，但缺乏提供最先进聚类方法和交互式可视化的单一 Web 资源。ClusterEnG（Clustering Engine for Genomics 的首字母缩写）提供了一个用于聚类大数据和交互式可视化的界面，包括 3D 视图、聚类选择和缩放功能。ClusterEnG 还旨在教育用户了解各种聚类算法之间的异同，并提供聚类教程来展示每种算法的潜在缺陷。该网络资源对于不熟悉计算但希望以直观方式了解其数据结构的科学家特别有用。可用性 ClusterEnG 是一个名为 KnowEnG（基因组学知识引擎）的更大项目的一部分，可在 http://education.knoweng.org/clustereng 获得。联系 songi@illinois.edu。