查询词典 clustering

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。

On the basis of K-means clustering segmentation and region connection,the edges of the target and backgrounds were extracted accurately and intactly.

将K-均值聚类方法与分形理论相结合，提出了一种分两个阶段对扩展目标进行分割的方法。

To enhance the reliability of narrow band PLC over low-voltage networks, a Power Line Communi- cation routering reconstruction method on basis of irreciprocal clustering algorithm is proposed and thoroughly discussed in the paper.

为提高低压配电网窄带电力线载波通信系统可靠性，提出并讨论一种基于非交叠分簇算法的电力线通信组网及路由重构方法。

After covering, the gravity centers of covers are recalculated to achieve better effect. The iterativeness of samples is not needed. Therefore, the problems, such as the choice of initial sample and the clustering speed, are solved, which can not be solved with other algorithms.

该算法可以在覆盖后求重心，不断调整所做的覆盖，对大量的样本数据不需要迭代，因而解决了其他聚类算法难以解决的问题：初值的选择和聚类速度。

Color spatial distribution of karyon, cytoplasm and background is statisticed and compared in the thesis. Referring to the relative theories of pattern recognition, the minimum distance-clustering algorithm is betaken to segment karyon in the color images.

论文中，对细胞核、细胞浆和背景色彩的空间分布进行了统计和对比，结合模式识别中的相关理论，提出了使用聚类算法中的最小距离法完成彩色图像中细胞核的分割方法。

"Yes, now you can give yourself airs," she said, you have got what you wanted.

"对了，您现在高兴了，"她说道，这是您所期待的。

Then the LORD said to me: Rebel Israel is inwardly more just than traitorous Judah.

上主于是对我说：＂失节的以色列比失信的犹大，更显得正义。