查询词典 clustering

Among these three methods, principal component analysis is not necessary; a large amount of severe problems (such as the determination of the number of clusters) encountered in the delineation of hydrologically homogeneous regions arise in conventional clustering methods and the employ of discrimination analysis is not intuitional.

在这三种统计技术中，主成分分析并非划分水文均一区必要的步骤；大部份关於水文均一区的划分的问题则存在於传统的群集分析方法中；而识别分析在水文均一区划分中的用法则并不直觉。

This method uses what Professor Salton has proposed as the vector spacial model to express text as an invisible vector in hyperspherical space.It makes use of certain pre-disposal methods (reduce the dimensions,clustering thesaurus,filtering out old-fashioned words) to reduce the dimensions.It usescosines to measure the degree of similaritybetween texts and uses the total similarity as the target convergence vector.It produces clustered results by using restricted iteratives to achieve partial perfection.

该算法用Salton教授提出的向量空间模型把文本表示成不可视的超球向量空间的一个向量，采用一定的预处理手段(降维、同义词归并、停用词过滤)完成维数约减，使用余弦相似度度量文本之间的相似度，并选择总凝聚度作为目标收敛函数，通过有限次的迭代达到局部最优，输出聚类结果。

This paper will discuss in the first part how the data of borehole distances being transmitted from an ichnographic layout to the section planes employing a computer program, and a method of merging analogy soil sub-layers to a major layer with the same statistical properties to facilitate the mechanical analysis using the fuzzy clustering is introduced.

讨论了用程序编制的方法实现的数据从平面图到剖面图的钻孔距离传递，利用模糊聚类思想提出的对剖面数据进行合并的建议和利用地质三维软件实现的三维地质体模型的耦合展示，这几个问题正是目前大多勘察单位在数据控制与传递流程中可能欠缺的环节。

Theoretically, its calculation complexity is studied, while it is tested empirically by learning multi-samples generated randomly. The comparative analysis and applications show it has some merits of rapid searching and good clustering effect. B3. An immune network optimization algorithm with information feedback, which can solve special complex function optimization problems with high dimensions which objective functions are formed by summing multi-subobjective ones, is constructed based on the clone selection principle and the immune network regulation of the idiotype immune network.

为了对免疫系统中抗体如何学习抗原特征的整体行为有一定的认识，从单个抗体识别抗原及多个抗体并行识别抗原的特征出发，利用免疫应答的相关原理及免疫细胞的免疫功能设计了适合于批量样本聚类的抗原特征学习算法，理论上分析了其计算复杂度，获得了此算法中的关键参数与其搜索性能的关系；应用上，该算法通过对实际的多样本学习，获得了搜索速度快及聚类效果好的优点，比较分析表明这种方法是可行的和有效的。

A simple artificial immune network algorithm, suitable for clustering problems with a small quantity of samples, is obtained by using the idiotype immune network. Further, a fuzzy immune network classification algorithm applied to sample classification learning is proposed by uniting the algorithm and fuzzy logical rules.

其次，利用抗原群及抗体群的作用关系，结合免疫记忆细胞的记忆功能，并借助于克隆选择原理、免疫网络的调节机制及约束条件处理方法，设计约束多目标优化免疫算法处理约束多目标优化问题，收敛性论证、性能测试、比较及实际应用表明此算法是有效的。

This model uses nonlinear mapping to map samples into high dimensional feature space, and compares the distribution of each type of samples in the high dimensional space. So that a binary decision tree is constructed through clustering, which can make the more separable classes classified at the upper node of the binary decision tree. The model overcomes the accumulation of misclassification and avoids the condition of impartibility efficiently. At the same time, each node of decision tree uses binary least squares wavelet support vector machine to obtain higher generalization ability.

该模型利用非线性映射将样本投影到高维特征空间，比较每类样本在高维空间的分布情况，进行聚类构造出一个二叉决策树，使容易区分的类别从根节点逐层分类出来，有效克服了错分积累和避免不可分情况；同时，各个节点采用二值最小二乘小波支持向量机，以获得较高的泛化能力。

The clustering of indigotin and indirubin content of indigowoad root granule was processed. Based on the PCA results, the first seven principal components were applied as ANN-BP input nods, and the 2 predictive indexes were applied as output nods, a testing model of artificial neural networkwith 7-7-2was set up.

在主成分分析的基础上，以每一个样品的前7个主成分作为神经网络的输入节点，成分类型作为神经网络的输出节点，建立一个772的3层BP人工神经网络模型。

Thus a method of designing RBF neural network, which based on a supervised rough clustering method by partition under indiscernibility relation, is proposed.

因此，本文提出一种基于不可分辨划分的有监督粗糙集聚类算法的RBF网络设计方法。

Furthermore, it can not define indiscernibility relationship when default data is included in rough data. In this dissertation, a new rough set model, which can be used to process original data which include default data, fuzzy data, or incomplete data, is proposed based on clustering methods.

本文从实际应用中存在缺值、不完全和噪音数据等问题为出发点，结合人机交互技术中数据挖掘的应用，研究分析了数据挖掘中的一些理论与方法，取得了以下主要研究成果： 1。

Firstly,proposed an extended rough sets model based on concordance relation which relaxed the indiscernibility relation and tolerance relation.Secondly,redefined some concepts,such as the indiscernibility degree between two objects,the indiscernibility degree between two clusters,integrated approximation rate of the clustering result.

首先在经典粗糙集理论的基础上，通过松弛对象之间的不可分辨和相容性条件，得到了基于和谐关系的扩展粗糙集模型；然后定义了新的个体间不可区分度、类间不可区分度、聚类结果的综合近似精度等概念，提出了新的混合数据类型层次聚类算法。

They weren't aggressive, but I yelled and threw a rock in their direction to get them off the trail and away from me, just in case.

他们没有侵略性，但我大喊，并在他们的方向扔石头让他们过的线索，远离我，以防万一。

In slot 2 in your bag put wrapping paper, quantity does not matter in this case.

在你的书包里槽2把包装纸、数量无关紧要。