Text Clustering Algorithm Based on Random Cluster Core

Text Clustering Algorithm Based on Random Cluster Core

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Nowadays clustering turbo air m3f24-1 has become a popular text mining 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 revlon colorstay lip liner plum 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, which effectively reduces the complexity of the distance calculation.