Resumen:
Over tiime, it has been found there is valuable information within the data sets generated into differnt áreas, These large data sets required to be processed with any data mining technique to get the hidden knowledge inside them. Due to nowaday many of data sets are integrated with a big number of instances and they do not have any information that can describe them, is necessary to use data mining methods such as clustering so it can permit to lump together the data according to its chararcteristics. Although there are algoritms that have good results with small or médium size data sets,they can provide poor results when they work with large data sets. Due to above mentioned in this paper we propose to use different cluster validation methods to determine clustering quality, as its analysis, so at the same time to determine in an empiric way the more realiable rates fopr working large data sets.
