• On the basis of analyzing RBPNN in theory, subtractive clustering is used to determine its hidden centric vector.

    在对径向基概率神经网络进行理论分析基础采用减法聚类方法确定中心矢量。

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  • Methods: Analyzing polymorphics of commercial medicinal materials "Qian-Hu" at different regions by RAPD technique and constructing a clustering tree diagram.

    方法:采用RAPD技术不同产地商品药材前胡进行多态性分析,构建聚类树型

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  • By means of analyzing kernel clustering algorithm and rough set theory, a novel clustering algorithm, rough kernel k-means clustering algorithm, was proposed for clustering analysis.

    通过研究算法以及粗糙提出一个新的用于聚类分析的粗糙核聚类方法。

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  • As an important section of data mining, clustering is an effective tool for analyzing large amount and complicate data and a major means for get intelligent decision-making information.

    聚类分析作为数据挖掘技术重要组成部分分析海量复杂数据有效工具获取智能决策信息主要手段

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  • Firstly, according to the clustering character of skin color, the human hand is segmented via building the skin color model by analyzing the characters of common color Spaces.

    首先根据肤色聚类特征,在对比分析常用彩色空间特性基础上建立肤色模型,对人手进行分割。

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  • A clustering attributes model had been designed which come from the analyzing of tobacco commercial enter-prise 'sale data and characteristic.

    根据烟草商业企业业务数据卷烟营销特点分析设计客户分类评价指标模型

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  • An algorithm of Gaussian kernel clustering is proposed by analyzing kernel mapping theory.

    通过研究映射机理,提出了用于类分析高斯核聚类算法

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  • After analyzing the current automatic user modeling approaches, automatic modeling based on user interests clustering is proposed.

    分析现有自动用户建模方法,提出基于用户兴趣聚类进行自动用户建模。

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  • By analyzing ART2 neural network clustering algorithm, an improved ART2 neural network clustering algorithm was proposed.

    分析了现有ART2网络存在的问题,提出一种改进的ART2算法

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  • After analyzing the problems with present FCM clustering algorithm, an improved version of FCM clustering algorithm is proposed in this paper.

    分析现有FCM算法存在的问题,提出一种改进FCM聚类算法。

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  • After analyzing the traditional clustering algorithms, the paper presents a new clustering ensemble method based on K-means to cluster data.

    本文分析传统算法基础上,提出了种聚类融合算法

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  • Conclusion the clustering analysis method, as an ideal means, may provide detailed and reliable results in analyzing the serum protein profile from SELDI.

    结论实验采用的聚类分析法获得的结果详尽可靠,是分析SELDI蛋白芯片等大规模实验数据的理想工具

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  • Second, LEACH is selected to be the research target as the representative of the clustering protocols; we bring forward some improvements based on analyzing its shortages.

    第二选择典型路由—LEACH协议作为研究对象分析了LEACH协议中选择头和簇内通信的不足此基础提出自己改进算法。

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  • By analyzing the origin and feature of outliers, a concept of exceptional contribution degree is defined and then an algorithm for re-clustering outliers based on feature weighting is proposed.

    通过群数据来源特性进行分析定义离群贡献度概念,提出了一种基于特征赋权的离群数据聚类算法

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  • 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.

    通过传统文本实现与分析,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,取得一定的效果。

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  • After analyzing the disadvantages of the user profile based on-keywords vector in the existing document recommendation system, a novel representation of user profile based on clustering was proposed.

    分析现有文章推荐系统基于关键词向量用户模型表示方法存在不足,提出了基于聚类兴趣点的用户模型表示方法。

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  • After analyzing the disadvantages of the user profile based on-keywords vector in the existing document recommendation system, a novel representation of user profile based on clustering was proposed.

    分析现有文章推荐系统基于关键词向量用户模型表示方法存在不足,提出了基于聚类兴趣点的用户模型表示方法。

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