本文提出了一个处理高维数据聚类的框架，并分析了该框架的性能。
In this paper, a framework of a mapping-based clustering approach to deal with high dimensional data is proposed, and its performance analysis is also given.
近年来随着聚类应用领域的扩展和深入，高维数据聚类越来越普遍，也越来越重要。
In recent years, with the application of clustering, high dimensional data clustering is becoming more common, and more important.
在许多聚类应用中，数据对象是具有高维、稀疏、二元的特征。
The data sets have features such as high-dimensional, sparseness and binary value in many clustering applications.
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