On the basis of the above research, a self-adaptive clustering routing algorithm sensitive to position is proposed.
在上述研究的基础上，提出了一种对位置敏感的自适应分簇路由算法。
Analyze the parameters of the fuzzy clustering method, ensure the self-adaptive clustering of the generators by the fuzzy statistical index.
对模糊聚类的方法进行了参数分析，引入指标保证了发电机分群的自适应性。
Based on the study of LEACH, in this paper, we propose a new clustering routing algorithm-Radius Adaptive clustering Multi-hop routing algorithm (RACMH).
基于对LEACH协议的研究，本文提出了一种新的成簇路由算法——半径自适应成簇多跳路由算法(RACMH)。
Absrtact: the LEACH protocol is a low-energy adaptive clustering hierarchy protocol designed for the wireless sensor networks, which can prolong the network lifetime.
摘要：低能自适应聚类路由协议(LEACH协议)是为无线传感器网络设计的一种低功耗自适应分层路由协议，具有延长网络生命时间的作用。
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。
On the basis of analysis and research of traditional clustering algorithms, a clustering algorithm based on density and adaptive density-reachable is presented in this paper.
在分析与研究现有聚类算法的基础上，提出了一种基于密度和自适应密度可达的改进算法。
The proposed method to cluster customers is to combine response-surface method, adaptive-conjoint analysis technology and system-clustering method according to the value of customers needs utility.
综合应用响应曲面法、适应性关联分析技术和系统聚类法，提出了根据客户需求效用值进行客户群聚类划分的新方法；
The function model of the multiquadric's central node to choose to do an in-depth discussion, put forward the "Adaptive location" to match the characteristics of the K-means clustering method.
对函数模型法中的多面函数中心节点的选择做了深入讨论，提出了具有“位置自适应”匹配特点的K均值聚类法。
On the basis of the analysis and research of traditional clustering algorithms, a clustering algorithm based on density and adaptive density-reachable is presented.
在分析与研究现有聚类算法的基础上，提出一种基于密度和自适应密度可达的改进算法。
By using the methods of subtraction clustering and adaptive fuzzy neural network, a sort of motion planner for the underwater vehicle was designed.
使用减法聚类和自适应模糊神经网络方法设计了一种水下机器人运动规划器。
The model simplification algorithms can be divided into four main categories: vertex clustering, incremental simplification, the sampling algorithm and adaptive subdivision.
根据简化算法的简化方式可将其分为四大类：顶点聚类算法、增量式简化算法、采样算法和自适应细分算法。
Since an FCM based self adaptive fuzzy clustering technique is employed to determine the proper structure of the FNN and set the initial weights in advance, the network can be trained rapidly.
由于预先运用基于FCM的自适应模糊聚类方法确定模糊神经元网络合理的结构，并设置网络的初始权值，从而可提高网络的训练速度。
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。
A fast clustering algorithm with adaptive density based on homogeneous grid is proposed.
提出了一种基于均匀网格的自适应密度快速聚类新算法。
The method is a kind of on line adaptive fuzzy reasoning which is deduced based on fuzzy clustering method. The method can be used in parameters identification of time-varying system.
该方法是在原有模糊聚类法的基础上，推导出的在线自适应模糊推理算法，可应用在时变非线性系统参数在线辨识中。
An adaptive fuzzy clustering identification algorithm is employed to get the T-S fuzzy model of a system.
用基于T - S模型的自适应模糊聚类辨识算法对系统进行辨识。
The Genetic Algorithms are optimized by the clustering analysis. The search area is reduced continuously by classifying the population. The continuously adaptive optimizing search is implememented.
通过种群优化分类，使搜索半径不断缩小，实现了自适应连续优化搜索，较大提高了网络优化收敛速度、解的精度及全域寻优能力。
This paper proposed an improved routing update algorithm - a dynamically self-adaptive routing update algorithm based on clustering mechanism.
提出了一种改进的路由更新算法—基于分簇机制的动态自适应路由更新算法。
An adaptive color signal spatial clustering technique based on area correlation is used and thus the target detection effect is improved.
使用基于区域关联性的彩色信号自适应空间分集检测技术，提高目标检测效果。
The experiments indicate that the rough K-means based on self-adaptive weights is an effective rough clustering algorithm.
实验结果表明，基于自适应权重的粗糙K均值算法是一种较优的聚类算法。
Furthermore, the self-adaptive weights arc obtained from the Gaussian distance ration in cluster approximation, which can lead to the more accurate clustering results.
此外，该算法采用近似集合中的高斯距离比例来表现样本权重，从而可以在多种数据分布上得到更精确的聚类结果。
Furthermore, the self-adaptive weights arc obtained from the Gaussian distance ration in cluster approximation, which can lead to the more accurate clustering results.
此外，该算法采用近似集合中的高斯距离比例来表现样本权重，从而可以在多种数据分布上得到更精确的聚类结果。
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