This paper proposes an algorithm based on color cluster feature for color quantization.

提出了一种基于颜色聚类特征的色彩量化方法。

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A stochastic clustering method based on pairwise similarity of elements was utilized to cluster feature space.

利用基于元素间相似性的随机聚类方法对特征空间进行聚类。

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The algorithm divides tag co -occurrence network based on tag node's centrality and similarity, and automatically generates a cluster feature tag after clustering to represent that cluster.

算法基于标签节点的核心度和相似性对标签共现网络进行分割，并在聚类后自动生成该类的特征标签来代表该类簇。

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The algorithm divides tag co -occurrence network based on tag node's centrality and similarity, and automatically generates a cluster feature tag after clustering to represent that cluster.

算法基于标签节点的核心度和相似性对标签共现网络进行分割，并在聚类后自动生成该类的特征标签来代表该类簇。

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