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
discussion of the ANSI/ISO C++ standardization process and the C++ standard, and for discussion of the design and standardization of the C++ language and libraries.
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")