ClodHopper is a Java library for high-performance clustering of numerical data. It contains clustering implementations such as K-Means, K-Means++, X-Means, G-Means, Fuzzy C-Means, Jarvis-Patrick, and various forms of hierarchical clustering. ClodHopper's clustering implementations take advantage of the host system's concurrent processing ability to speed clustering. The data structures are also very lean to conserve memory usage. ClodHopper is very extensible. If you are developing a new clustering algorithm, you may save yourself an enormous amount of work by extending a ClodHopper base class.
Epikscan is a cluster aware, diagnostic script that runs basic health checks and gathers detailed, addressable system information from an RHEL, Scientific Linux, Oracle/OVM2, or CentOS 4, 5, or 6 system. A single archive is created for each host, containing the scan data along with linking information that can be merged with scans from other nodes to produce a cluster oriented report. HTML, text, XML, and SQLite3 database reports can be optionally generated to support both manual and automated fault analysis. The scan and merge process attempts to heuristically identify possible problems with the node or cluster configuration and highlights them in red to speed up the review and resolution process.