An improved K-means clustering algorithm

Jian Zhu, Hanshi Wang

2010 · 39 citations · 8 references

Concepts

Abstract

That traditional K-mean algorithm is a widely used clustering algorithm, with a wide application. In light of the disadvantage of K-mean algorithm, improvement is made to the traditional K-mean algorithm, a k value learning algorithm is proposed. Using genetic algorithm to optimize the K value, and improve clustering performance.

References

8