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spectral clustering algorithm 谱聚类算法
This paper proposed a multilevel algorithm based on spectral clustering of ascertainable clustering number, which can cope with large training sets. 在自动确定聚类数谱聚类算法的基础上，提出了一种能处理大规模数据集的多层算法。
And the introduction of the K-Harmonic Means algorithm (KHM) can overcome the initialization-dependence of original spectral clustering and thus a more robust clustering result can be obtained. 通过引入K-调和平均算法克服了原始谱聚类算法对初始化的敏感性，从而得到更稳定的聚类性能。
This algorithm is similar to the Microsoft Clustering Algorithm. 该算法类似于Microsoft聚类分析算法。
Ascertainable clustering number and large training sets are vital problems of spectral clustering. 自动确定聚类数和海量数据的处理是谱聚类的关键问题。
This paper presents a similarity-based grid clustering algorithm (SGCA). 摘要提出了一种基于相似度的网格聚类算法（SGCA）。
The computer emulating result proved that this algorithm excel the LBG and fuzzy clustering algorithm. 仿真结果证明该算法大大优于LBG法[1]和模糊聚类法[5]
Due to the initialization-dependence of original spectral clustering, an initialization-independent spectral clustering on the joint model is proposed and then is applied to image segmentation. 针对原始谱聚类算法初始化敏感的缺点，提出了一种基于联合模型的初始化独立谱聚类算法并将其用于图像分割。
Fuzzy K means clustering algorithm can segment white matter,gray matter and CSF better from the MR head images. 模糊K－均值聚类算法能很好地分割出磁共振颅脑图像中的灰质、白质和脑脊液。
A fast clustering algorithm based on hypersphere of the multidimensional space is presented. 摘要提出了一种基于多维空间超球体的快速聚类算法。
LEACH is a typical clustering algorithm, in which clustering nodes play the leading role. LEACH算法是一种典型的分簇路由算法，簇头的选取直接影响到算法性能的优劣。
Addressed with information theory,the approaches employ a clustering algorithm to modularize ontologies. 借助信息论的相关知识,将本体聚类成语义模块。
This paper proposes a modified fuzzy C-means (MFCM) clustering algorithm to cluster all images before retrieval. 论文采用了一种基于改进的模糊C均值算法来聚类图像。
The nearest neigbor clustering algorithm is used to train the RBF neural network. 利用具有在线能力的最近邻聚类学习算法，训练RBF神经网络。
This paper presents a new data Clustering algorithm based on glowworm swarm optimization (GSO) algorithm. 本文提出了一个新的分群架构。运用此架构，我们可以使执行时间相较于原本的方法有大幅度的缩短。
The paper presents an ant colony clustering algorithm based on directional similarity: ACCADS. 摘要提出了一种基于方向相似性度量的蚁群聚类算法。
In order to improve the efficiency we propose a distributed clustering algorithm based on large data sets. 为了提高聚类效率提出了一种基于分布式的大数据集聚类算法。
This paper introduces fuzzy clustering algorithm into analyzing software metrics data. 文中将模糊聚类算法应用到软件度量的数据分析中。
A new hybrid clustering algorithm based on particle swarm optimization and FCM algorithm is proposed. 摘要提出了一种基于模糊C均值算法和粒子群算法的混合算法。
Finally, a numerical example shows the applicability of the FCM clustering algorithm. 最后通过一个算例说明了该聚类算法的具体应用。