In k-means clustering we are given a set of n data points in d-dimensional space and an integer k, and the problem is to determine a set of k points in d-space, called centers, so as to minimize the mean squared distance from each data point to its neares
The object interfaces provided by ILU hide implementation distinctions between different languages, between different address spaces, and between operating system types. ILU can be used to build multi-lingual object-oriented libraries ("class libraries")
a tool for providing the 'atomic' keyword for C/C++ (gcc, x86, Linux only yet). With TARIFA you may replace hard-to-understand lock (mutex) constructs or improve coarse-grained locking solutions by employing regions of code that appear to be executed atom