The resources on data clustering can be divided into the categories of books, survey articles, and software. The books on data clustering are mostly generic and are not specific to any particular area or topic. On the other hand, since the surveys are generally more focussed, many more surveys have been written, which are specific to particular topics, such as high–dimensional data, nonnegative matrix factorization, spectral clustering, or text data. The last of the aforementioned categories is an ever changing landscape, since advancements in data clustering make older software packages obsolete. Educational resources are either generic in the form of books or more focused on the research communities in the form of surveys. The books discuss most of the classical clustering literature, in a way which is easy to understand and comprehend. There are numerous surveys on the topic of data clustering. A significant amount of software is available for data clustering.