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 system gives two kinds of recommendation algorithms based on association rule mining and user's transaction pattern clustering.
在分析工业过程数据测量误差源的基础上，提出了一种基于模式聚类的数据预处理方法。
Based on the analysis of data measurement error sources in industrial process, this paper presents a data preprocessing method which is based on pattern recognition.
本文把模糊义互熵和模糊似然函数的性质应用到模式聚类中从而为模式聚类增加了新一种方法；
In this paper, we according to fuzzy theory presented some property bout fuzzy alternation entropy and Similar function and a fuzzy technique about information classification.
本文对径向基函数网络提出了一种新的学习算法，利用最小均熵差准则对训练样本进行模式聚类。
This paper presents a new leaning method for radial basis function network, minimum mean entropy difference criterion algorithm is used to get pattern cluster of training sets.
本文提出一种以模式聚类为基础的病态样本判定方法，并给出基于模式相似度计算的投票剔除算法。
The author presented a method for morbid sample recognition that base mode clustering, paper proposed a eliminating algorithm of voting that base mode similarity calculating.
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。
The paper proposes a novel similar pattern clustering algorithm that can discover the pattern that exhibits a coherent pattern on a subset of dimensions.
聚类分析是基因数据分析中的一种重要手段，本文主要内容包括基于划分的聚类算法的改进以及模式聚类的理论研究。
Clustering is an important means to analyze genetic data. This paper focuses on the cluster analysis of gene chip data, including partitioned clustering and pattern-based approach.
结果表明，神经元网络是用于解决采矿工程中权重评价、模式聚类问题的有效方法，对于解决采矿工程中相关问题有着广泛的应用前景。
Results show that Neural Network is an effective method for solving the weight evaluation, clustering analysis problem in mining and has widely spreading application prospect.
您还可以修改一些规范，比如图表的范围和类型(条形图或线形图，层叠图或聚类图)、颜色和模式选项、细分维度和工具提示。
You will be able to modify some of the specifications such as the range and type of chart (bar or line, stacked or clustered), color and pattern choices, breakdown dimension and tooltips.
介绍模糊数学的基本概念，建立了用于缺陷模糊模式识别的两种数学模型，即模糊集法与模糊聚类法。
The concept of fuzzy mathematics is described and two fuzzy pattern recognition models of flaws based on fuzzy set method and fuzzy cluster method have been established.
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。
With the clustering feature analyzed, restrained function and pattern similarity are introduced. Then the algorithm of improved FCM is presented.
针对新的参考向量开发了模糊竞争学习模式，并用该算法成功地解决了文献聚类的难题。
This paper also develops a fuzzy competitive learning scheme for these new reference vector parameters, and applies the algorithm to the difficult task of clustering documents.
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。
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.
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；
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.
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。
Based on concepts of attribute measurement, we used attribute clustering network approach to resolve some problems of pattern recognition.
该方法采用核密度估计模型来构造近似密度函数，利用爬山策略来提取聚类模式。
This method USES kernel density estimation model to construct the approximate density function, and takes hill climbing strategy to extract clustering patterns.
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。
Anchorperson shots were detected automatically for browsing news video with STS pattern analysis, clustering and information fusion.
实验结果表明该算法能有效发现变长符号序列中的聚类模式。
Simulation results show that our method can successfully find patterns of clusters of the input variable-length sequences.
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 is a promising application technique for many fields including data mining, pattern recognition, image processing, compression and other business applications.
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。
Also, some of data mining algorithms that are commonly used in Web Usage mining are clustering, association rule generation, sequential pattern generation etc.
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。
Hence, micro seismic facies analysis can be successfully achieved using interactive interpretation system plus fuzzy dynamic clustering and pattern recognition.
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。
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.
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。
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.
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。
Several major kinds of data mining methods, including characterization, classification, association rule, clustering, outlier detection, pattern matching, data visualization, and so on.
在数据挖掘领域，聚类用于发现数据的分布模式和数据间的相互关系。
In data mining, clustering is used to discover groups and identify interesting distribution in the underlying data.
为了提高群体智能聚类算法的运行效率，提出了利用主成分分析改善模式投影时的随机性。
To improve the running efficiency of the algorithm, the stochastic mapping of the patterns was modified based on principal component analysis.
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。
Clustering can analyse the data effectively, which has a wide use in many fields, such as data mining, numerical analysis and pattern recognition.
数据挖掘的任务有关联分析、时序模式、聚类、分类与预测等。
The tasks of data mining include association rules analysis, time series module, cluster analysis, classification and predication and so on.
与此同时，分别设计了模糊系统聚类法和模糊等价矩阵法两种模糊网络模式识别方法对局部放电信号进行识别，作为局部放电模式识别对比实验。
At the same time, fuzzy hierarchical clustering and fuzzy equivalence matrix method based on fuzzy logical are designed for partial discharge pattern recognition as contrasting experiment.
与此同时，分别设计了模糊系统聚类法和模糊等价矩阵法两种模糊网络模式识别方法对局部放电信号进行识别，作为局部放电模式识别对比实验。
At the same time, fuzzy hierarchical clustering and fuzzy equivalence matrix method based on fuzzy logical are designed for partial discharge pattern recognition as contrasting experiment.
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