Abstract:
Clustering analysis is an active research branch in the area of data mining due to its simplicity and rapidity. However, K-means algorithm has the shortcomings of heavily...Show MoreMetadata
Abstract:
Clustering analysis is an active research branch in the area of data mining due to its simplicity and rapidity. However, K-means algorithm has the shortcomings of heavily depending on the initial clustering center and easily falls into local optimum. In this paper, we consider a deep research on K-means algorithm of optimization. We put forward the first selected initial clustering center of K-means algorithm, toward this end, a novel hybrid algorithm based on K-means algorithm and Hybrid Rice Optimization Algorithm were proposed to rapidly find the optimal cluster centers and avoid getting into local optimum. Experimental results show that the proposed clustering algorithm outperforms other similar algorithms.
Date of Conference: 21-23 September 2017
Date Added to IEEE Xplore: 07 November 2017
ISBN Information: