It studies kernel function method with parameters optimized and its application in pattern clustering.
研究了具有参数优化的核函数法及其在聚类问题中的应用。
The system gives two kinds of recommendation algorithms based on association rule mining and user's transaction pattern clustering.
本系统给出了基于关联规则挖掘和基于用户事务模式聚类两种推荐算法。
The paper proposes a novel similar pattern clustering algorithm that can discover the pattern that exhibits a coherent pattern on a subset of dimensions.
给出一种新的相似模式聚类算法，能高效地得到访问者对象在整个或者部分属性空间的相似访问行为模式。
Clustering has its advantages when the data set is defined and a general pattern needs to be determined from the data.
当数据集已定义并且需要从此数据确定一个通用的模式时，群集的优势就会比较明显。
Part 1 deals with the installation and set up of Process Server with the latest fix pack. Part 2 deals with clustering and creating a Golden Topology deployment environment pattern.
第1部分介绍如何使用最新修复包安装和设置processServer，第2部分介绍如何集群化并创建一个黄金拓扑部署环境模式。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
With the clustering feature analyzed, restrained function and pattern similarity are introduced. Then the algorithm of improved FCM is presented.
通过对模糊c均值算法聚类特性的分析，引入了约束函数及模式相似度的概念，提出了改进的FCM算法。
Clustering is a promising application technique for many fields including data mining, pattern recognition, image processing, compression and other business applications.
数据聚类在数据挖掘、模式识别、图像处理和数据压缩等领域有着广泛的应用。
Clustering analytical means of Data Mining is combined with Intrusion Detection System and an intellectual structure pattern used in Intrusion Detection Syst.
将数据挖掘的聚类分析方法与入侵检测系统相结合，提出了一种入侵检测系统的智能结构模型。
Several major kinds of data mining methods, including characterization, classification, association rule, clustering, outlier detection, pattern matching, data visualization, and so on.
常用的数据挖掘方法包括描述、分类、关联规则、聚类、孤立点检测、模式匹配、数据可视化等。
To evaluate embankment safety, this paper constructs the models obtaining subjective and objective weight of experts with the methods of fuzzy mathematics, pattern recognition and dynamic clustering.
利用模糊数学和模式识别理论以及动态聚类方法等，提出了堤防工程安全评估专家主观和客观赋权模型；
Based on concepts of attribute measurement, we used attribute clustering network approach to resolve some problems of pattern recognition.
在属性测度概念的基础上，运用属性聚类网络方法解决模式识别问题。
Clustering can analyse the data effectively, which has a wide use in many fields, such as data mining, numerical analysis and pattern recognition.
聚类可以对数据进行有效分析，在数据挖掘、数值分析、模式识别等领域有着非常广泛的应用。
Under the application of image segment and clustering analysis methods into 8fsk signal's spectrum analysis, a demodulation algorithm based on pattern recognition is proposed.
通过把图像分割和聚类分析方法应用于8fsk信号的频谱分析，提出了基于模式识别的解调算法。
Anchorperson shots were detected automatically for browsing news video with STS pattern analysis, clustering and information fusion.
通过对时空切片的模式分析，聚类和信息融合，实现了新闻主播镜头的自动检测。
Hence, micro seismic facies analysis can be successfully achieved using interactive interpretation system plus fuzzy dynamic clustering and pattern recognition.
据此。本文应用模糊动态聚类和模式识别相结合的方法，在人机交互解释系统上自动实现微地震相分析。
Fuzzy C-means clustering is one of the important learning algorithms in the field of pattern recognition, which has been applied early to image segmentation.
模糊c -均值聚类是模式识别中的重要算法之一，很早就被应用到图像分割中。
We design and implement the artificial immune network algorithm, and successfully apply this algorithm in solving a pattern recognition problem and a data clustering problem.
在此基础上，设计和实现了人工免疫网络算法，并应用该算法成功解决了一个模式识别和数据聚类问题。
An autonomous star pattern recognition method using the tri-star clustering function of SOFM (Self-Organizing Feature Maps) network is described.
介绍了一种利用SOFM(自组织特征映射)网络的聚类功能进行全天星图识别的算法。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Based on the theory of neural networks, fuzzy clustering algorithm and adaptive pattern recognition, the method can be used to classify and design the sample workpiece automatically.
该方法借鉴了神经网络理论、模糊聚类算法和自适应模式识别法的优点，自动完成样本的分类与样件设计工作。
As an important unsupervised pattern recognition tool clustering analysis has been used in diverse fields such as data mining, biology, computer vision, document analysis.
聚类分析作为一种重要的非监督模式识别工具，可用于多种领域，如数据挖掘、生物学、计算机视觉、文档分析等。
A fuzzy comprehensive evaluation model of emergency materials is established and hierarchical clustering method is used to identify different types of emergency materials reserve pattern finally.
通过建立应急物资模糊综合评价模型，结合层次聚类方法对数据分析，确定不同种类应急物资的储备模式。
Also, some of data mining algorithms that are commonly used in Web Usage mining are clustering, association rule generation, sequential pattern generation etc.
同时本篇论文也主要提出了一些经常被使用的数据挖掘的算法像聚类挖掘、关联规则挖掘、序列模式挖掘等。
The system adopts the techniques of initialization of state mapping plane, calibration of unknown pattern and on-line identification and this makes plant condition clustering efficiently.
该系统采用状态映照平面初始化方法、未知模式标定技术和在线识别技术，并结合知识库和规则推理的运用，有效地实现设备状态的分类。
In this paper, clustering analysis, pattern recognition, likelihood reasoning and fuzzy comprehensive evaluation were discussed respectively.
本文分别就聚类分析法、模糊识别、似然推理法和综合评判法进行介绍。
A method that applies the clustering function of SOFM (Self-Organizing Feature Maps) network is proposed for autonomous star pattern recognition.
介绍了一种利用自组织特征映射(SOFM)网络的聚类功能进行全天星图识别的方法。
According to fuzzy clustering theory and fuzzy pattern recognition theory, a theory and model deciding forecast factor weight was present on basis of fuzzy object function in this paper.
根据模糊聚类与模糊识别理论，基于模糊环境下的目标函数，提出了一种确定预报因子权重的理论模式。
The problem of pattern-based subspace clustering, a special type of subspace clustering that uses pattern similarity as a measure of similarity, is studied.
研究了基于样式相似性的子空间聚类问题，使用样式相似性作为相似性度量。
The problem of pattern-based subspace clustering, a special type of subspace clustering that uses pattern similarity as a measure of similarity, is studied.
研究了基于样式相似性的子空间聚类问题，使用样式相似性作为相似性度量。
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