1、

Methods: the data of air monitoring of 5 shops in Chongqing are distinguished into three kinds by K-means clustering analysis: good, meddle, bad, The general condition of shop was assessed by the proportion of different kinds of sample.

方法本文借助重庆市5家商场室内空气质量监测数据,用聚类分析将观测点划分为好、中、差3类,通过各商场各类别观测点的构成对总体状况作综合评价。

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2、

A fast sequential image fractal coding approach based on optimal fuzzy clustering

基于模糊聚类优化的序列图像快速分形压缩

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3、

In the fourth chapter the analysis for the visual features, the adaptive clustering and the extraction of the image area with the image similar visual brightness are analyzed.

第四章分析了图像视觉特征的邻域矩特征描述,并对邻域矩特征进行自适应聚类提取边界和图像目标的视同灰度的提取。

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4、

Through fuzzy clustering algorithm bring to bear MRF model spatial restriction field, consequently enhancing algorithm noise immunity.

由于将MRF模型的空间约束施加给模糊聚类算法,从而增强了算法的抗噪声能力。

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5、

Objective : To establish a clustering analysis method for red kojic by near-infrared reflectance spectrometry.

目的: 建立用近红外漫反射光谱法鉴别中药红曲的方法.

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6、

This paper also discusses clustering analysis used in the near-infrared ( NIR ) spectroscopy technique for Chinese traditional medicines.

本论文还讨论了将近红外 光谱分析 技术应用于中药材的鉴别分析.

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7、

A novel radial basis function neural network based on ant colony clustering ( RBF ACC ) was proposed.

提出了一种基于蚁群聚类算法和裁剪方法的RBF神经网络优化算法.

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8、

A novel radial basis function neural network based on ant colony clustering ( RBF-ACC ) was proposed.

提出了一种基于蚁群聚类算法的径向基神经网络.

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9、

Research on Document Clustering Technology Based on Latent Semantic Indexing

基于潜在语义索引的文本聚类技术研究

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10、

Resource clustering refers to the process that dividing the resources which belong to the same topic and have high similarity of contents between each other into a cluster according to the semantic connotation of the resources, and then specifying a semantic label for every cluster.

资源聚类是指按照资源所包含的语义内容,将内容相似度较高、属于同一主题的资源划分为一个类别,并为每一个类别指定一个语义标签的过程。

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11、

This paper proposes video clips clustering method based on spectral of correlative graph.

提出一种基于关联图谱的视频片段聚类方法。

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12、

Each of the current load balancing technology has its own advantages. Server clustering has greatly improved network load balancing capacity. In Windows 2003 Server, network load balancing functions are integrated based on clusters of servers.

目前存在的负载均衡技术各有优点,而服务器群集化使得网络负载均衡能力得到极大改善,在Windows2003Server中集成了基于服务器群集化的网络负载均衡功能,该系统易于操作实现。

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13、

The basic rules and procedures of applying adaptive genetic algorithms ( AGA) to clustering analysis are studied.

本文研究了基于自适应遗传算法进行聚类分析的基本原理和实现方法。

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14、

Clustering analysis is based on the core contents of variant-CAPP-system in group technology.

聚类分析是基于成组技术的变异 式 CAPP系统的核心内容.

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15、

In conclusion, SNN _ LOF algorithm can achieve clustering and at the same time find out the isolated point.

结论SNNLOF算法可以在聚类的同时发现孤立点.

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16、

General clustering approaches, such as distance-based and statistics-based, are not adapted to classification of outliers because of their characteristic of fewness data and sparseness.

离群数据是数据中的小模式,因其固有的少数据与稀疏性等特征,使得基于距离或基于统计等常规聚类方式不适用于对离群数据的分类。

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17、

In present paper, the differentiation of pteridophyte flora from southern Guangxi was studies quantitatively by clustering analysis approach.

本文讨论了传统的区系间相似性比较系数的不足,采用多元分析的研究方法定量研究了广西南部蕨类植物区系内部分化。

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18、

This paper introduces a text clustering method based on VSM ( vector space model ).

研究了一种基于 向量 空间模型的文档聚类方法.

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19、

K-means algorithm shows good in processing numerical data and has good clustering results, while it can not handle character data.

k-means算法对于处理数值型数据有好的聚类效果,但是不能处理常见的字符型数据。

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20、

In this paper, we studied the problem of character data clustering, and compared a variety of improved k-modes algorithm.

本文对字符型数据处理的聚类问题进行了研究,并对各种改进的k-modes算法进行了对比和分析。

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