Knowledge discovery clustering

Principles and Practice of Knowledge Discovery in Databases, Lyon, France, 2000. Fast Hierarchical Clustering Based on Compressed Data and OPTICS. 

Conference on Knowledge Discovery and Data Mining, R. Agrawal, P. Stolorz, and G. Piatetsky-Shapiro, Eds., AAAI Press, Menlo Park, CA, 1998, pp. 194-198. Initialization of Iterative Refinement Clustering Algorithms. 

P. S. Bradley, U. Fayyad, and C. Reina, Scaling clustering algorithms to large databases, in Fourth International Conference on Knowledge Discovery and Data Mining, AAAI Press, New York, 1998, pp. 9-15. 

Zamir, O., O. Etzioni, O. Madani, and R. M. Karp. 1997. Fast and intuitive clustering of web documents. In Proc. Third Int l Conf. Knowledge Discovery and Data Mining, pp. 287-290. 

Thus far, the importance of carbon cluster chemistry has been in the discovery of new knowledge. Many scientists feel that the earliest industrial applications of the fullerenes will be based on their novel electrical properties. Buckminsterfullerene is an insulator, but has a high electron affinity and is a superconductor in its reduced form. Nanotubes have aroused a great deal of interest for their electrical properties and as potential sources of carbon fibers of great strength. 

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