Fast K-means algorithm based on a level histogram for image retrieval

作者：

Highlights：

• The level histogram is used with the K-means algorithm for clustering data.

• The fast K-means algorithm was effectively applied to image database sets.

• The fast K-means algorithm improved the efficiency of the traditional K-means algorithm.

• The fast K-means algorithm processed images efficiently as images increases.

• The selection of the initial cluster centers affected the performance.

摘要

•The level histogram is used with the K-means algorithm for clustering data.•The fast K-means algorithm was effectively applied to image database sets.•The fast K-means algorithm improved the efficiency of the traditional K-means algorithm.•The fast K-means algorithm processed images efficiently as images increases.•The selection of the initial cluster centers affected the performance.

论文关键词：K-means,Histogram,Image retrieval,Color feature

论文评审过程：Available online 21 November 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.11.017