Through analyzing about traditional clustering methods, we present the text clustering based on the community detecting algorithms, adopt it to cluster the text datas and have good effect.
通过对传统文本聚类的实现与分析，将复杂网络中的社区划分算法应用文本聚类中，实现基于社区划分算法的文本聚类，并取得一定的效果。
Based on the improved SNN similarity matrix and spectral bisection method, this paper proposed a new algorithm for detecting the community structure in complex networks.
基于改进的SNN相似度矩阵与谱平分法，提出了一种寻找复杂网络社团结构的算法。
The assortment of diagnostic tests that are currently available for detecting gastroesophageal reflux disease (GERD) are invasive, costly and not readily available to community-based physicians.
在各种各样的诊断试验，目前可用于检测胃食管反流病（GERD ）的侵入，昂贵和没有现成的，以社区为基础的医生。
Detecting community structure is crucial for uncovering the links between structures and function in complex networks.
复杂网络中的社团发现对揭示网络的结构和功能之间的联系有着重要的意义。
Detecting community structure is crucial for uncovering the links between structures and function in complex networks.
复杂网络中的社团发现对揭示网络的结构和功能之间的联系有着重要的意义。
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