Clustering has historically been a hard problem to solve.

集群一直以来都是难以解决的问题。

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It is hard to cluster high-dimensional data using traditional clustering algorithm because of the sparsity of data.

在高维空间中，由于数据的稀疏性，传统的聚类方法难以有效地聚类高维数据。

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Many new and improved clustering algorithms have been proposed, but it is still hard to find a single algorithm to explore variety of structures of data objects.

尽管目前许多新型或改进的算法被提出，但仍然难以找到一种单一的算法可以探索各种数据对象分布结构。

youdao

Many new and improved clustering algorithms have been proposed, but it is still hard to find a single algorithm to explore variety of structures of data objects.

尽管目前许多新型或改进的算法被提出，但仍然难以找到一种单一的算法可以探索各种数据对象分布结构。

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