It can find that the data is high dimension and sparse . we bring forward hsmbk and hssca algorithms to code with the problem 针对实验数据的高维性、稀疏性等特征,我们提出了hsmbk和hssca两个聚类算法。
This thesis proposes a new effective scene clustering method which can automatically decide the stop point without prior knowledge 本文提出了一种新的有效的场景聚类算法,无需先验知识,自动决定算法停止点。
3 ) k - mean clustering algorithm is used classification . the category is two , according to the object and the experience knowledge 3 )应用无监督分类算法中k均值( k - means )聚类算法对输入特征向量进行分类。
At last , the paper presents a new application example which uses clustering and association rule algorithms to implement personal server 最后利用聚类算法和关联规则算法实现了用户个性化服务的一个应用实例。
This paper has studied the application of fuzzy set theory to image segmentation on the basis of the study of fuzzy set theory 本文在研究模糊理论的基础上,对模糊聚类算法在图像分割中的应用进行了一定的探讨。
And last , it mainly lays emphasis on the research of chinese text clustering . it designs a concept clustering algorithm based on the hownet 然后,针对中文文本的聚类,本文设计了以知网为背景知识的概念聚类算法。
This paper presents a method of analyzing stocks by fuzzy core clustering in character space formed by techno - index 摘要提出采用技术指标构造特征空间,在特征空间上用模糊核聚类算法寻找股市规律的股市技术分析方法。
It shows that an appropriate assignment to feature - weights can reduce the fuzziness and improve the performance of clustering algorithm 将权重应用于聚类算法,从而达到减少聚类算法的模糊性,提高聚类质量的目的。