Nowadays clustering has become a popular text mining guerlain ideal cologne algorithm, but the huge data can put forward higher requirements for the accuracy and performance of text mining.In view of the performance bottleneck of traditional text clustering algorithm, this paper proposes a text clustering algorithm with random features.This is a kind of clustering algorithm based on text density, at the same time using the neighboring heuristic rules, the concept of random cluster is introduced, weleda skin food 75ml best price which effectively reduces the complexity of the distance calculation.