文章通过理论分析，认为可以根据并行聚类算法的时间特性来决定采用何种通信策略。
This paper analyzes theoretically that the communication scheme can be chosen according to the time-character of clustering algorithm.
起源于并行学习算法对数据划分的要求，在对一种现行等分割聚类算法进行改进的基础上，本文提出自己的等分聚类算法。
Rooted in the requirement of data partitioning in parallel learning, we proposed our cluster method by improving a current clustering equally method.
〉基因表达数据的并行双向聚类算法。
A systematic comparison and evaluation of biclustering methods for gene expression data.
〉基因表达数据的并行双向聚类算法。
A systematic comparison and evaluation of biclustering methods for gene expression data.
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