  The clustering objects has become one of themes in many studies, and do not
few researchers use the similarity to cluster the instances automatically.
However, few research consider using Kommogorov Complexity to get information
about objects from documents, such as Web pages, where the rich information
from an approach proved to be difficult to. In this paper, we proposed a
similarity measure from Kolmogorov Complexity, and we demonstrate the
possibility of exploiting features from Web based on hit counts for objects of
Indonesia Intellectual.
