The candidate images are clustered based on the tag cluster results.
最后图片结果集即根据标签分类结果被聚类。
The improved fuzzy C-means clustering algorithm has better robustness and makes the cluster results insensitive to the predefined cluster number.
改进后的模糊C-均值聚类算法具有更好的鲁棒性,且放松了隶属度条件,使得最终聚类结果对预先确定的聚类数目不敏感。
The experimental result shows that the K-means with the proposed technique can produce cluster results with high purity as well as good stableness.
实验表明,该算法能够生成质量较高而且波动性较小的聚类结果。
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