Then, for tradition matrix clustering algorithm carries on the optimization, improved as weight matrix cluster algorithm.
然后，对传统的矩阵聚类算法进行优化，改进为权值矩阵聚类算法。
In view of the similarities between data clustering analysis and optimization questions, this paper deals with data clustering analysis by using simulation anneal algorithms.
本文针对数据聚类分析和最优化问题的相似点，用模拟退火算法进行聚类分析。
Combining the mechanism analysis with Fuzzy Clustering technique, an optimization and decision-making model about operating parameters in the ISF smelting process is built.
最后基于机理分析和模糊聚类技术建立了密闭鼓风炉过程操作参数优化决策模型。
Research of K value optimization of spatial clustering.
典型空间聚类问题的k值优化研究。
To avoid the shortcomings of FCM and Particle Swarm Optimization algorithm, new hybrid clustering algorithm based on PSO and FCM algorithm is proposed.
针对模糊c均值算法与粒子群算法的不足，提出了一种基于粒子群算法和模糊c—均值算法的混合聚类算法。
Considering fuzzy C-means clustering algorithms are sensitive to initialization and easy fall - en to local minimum, a novel optimization method is proposed.
针对模糊C均值聚类算法对初始值敏感、易陷入局部最优的缺陷，提出一种新的优化方法。
Meanwhile optimization theory based HCM clustering algorithm is used to cluster sample data to determine the number of node of hidden layer, so that the efficiency of RBF network in use is high.
同时采用基于优化原理的HCM算法实现聚类过程，来确定R BF网络的隐含层节点数，使网络的利用效率较高。
The proposed algorithm, TABU-Clustering, is com - posed of three stages: minimum spanning tree clustering, recombination of clusters and tabu search optimization.
该算法包括三个阶段：最小生成树聚类、聚类簇重组和禁忌搜素优化。
This thesis deals with gray image. The kernel of segmentation is pixel clustering. It belongs to optimization problem.
本文处理的对象是灰度图像，分割的核心是对像素进行聚类，属于优化问题。
Both theoretical analysis and experimental results show that the multi-objective optimization is very helpful for designing and evaluating the clustering approaches effectively.
理论分析和实验结果均表明，通过多目标优化，可以为评价和设计结群法提供定量依据。
The search results got by current search engines generally include a large number of duplicate Web pages. A search results optimization algorithm based on DBSCAN clustering algorithm was proposed.
针对目前搜索引擎搜索结果中普遍存在大量重复网页的现象，提出了一种基于聚类算法DBSCAN的搜索结果优化算法。
Secondly, this thesis used intelligent algorithm to optimization projection pursuit clustering model.
其次，利用智能算法对投影寻踪聚类模型进行优化。
For the complicated environment of rock burst, this clustering problem is a very complicated fuzzy and random optimization problem, and can not be solved by use of the traditional methods very well.
但由于岩爆问题环境的复杂性，岩爆预测的聚类问题是一个复杂的模糊、随机优化问题，采用传统方法难免带来很多局限性。
In this paper, an immune clustering algorithm is presented, which includes antibody production, antigen recognition, and antibody optimization.
提出了一种免疫聚类算法，该算法主要包括抗体产生、抗原识别和抗体优化等过程。
CASP adopts "similar clustering" topology optimization technique to form clusters among peers with related topics and provide cutoff connections to some remote peers.
CASP方法采用“相似结点聚集”的拓扑优化技术，能够在系统中形成主题相关的结点聚集，并提供到部分远程结点的快捷连接。
The assessment and optimization of visualization result and clustering quality are studied.
对资源的可视化效果及聚类质量的评价及优化问题进行了研究。
Some experiments is proved that the new combination algorithm has obvious advantage in optimization capacity and performance time than some common clustering algorithms.
实验证明这种新组合算法在优化能力和时间性能上比常用的聚类算法有比较明显的优势。
After analysing manifold color clustering methods, we present two unsupervised methods based on 2-d chroma plane, i. e, the density-based triangulation method and the GA-based optimization method.
在分析了多种颜色聚类方法的基础上，提出了2种无监督的二维色度平面颜色聚类方法：基于密度的三角化方法和遗传算法优化方法，并通过实验对2种方法进行了比对分析。
An optimization algorithm of RBF Neural Networks based on ant colony clustering and a pruning method is proposed.
提出了一种基于蚁群聚类算法和裁剪方法的RBF神经网络优化算法。
Aimed at the disadvantages of fuzzy C-means in fault diagnosis of steam turbine set, a weighted fuzzy clustering method based on particle swarm optimization is put forward.
针对模糊c -均值算法在汽轮机故障诊断中的不足，提出了粒子群优化加权模糊聚类分析的方法。
Using gray clustering method to determine station number of districts, then on the site plan for further optimization.
采用灰色聚类方法确定各影响区县的站点数量，然后对选址方案做进一步的优化。
As an example, a clustering algorithm is given for gate arrays with macrocells to obtain multi-objective optimization.
作为例子，针对带宏单元的门阵列给出了相应的算法。
We focus on finding abnormity in datasets with clustering and classified structure and studying the implement and optimization of key technology for outlier detection in this paper.
主要工作和成果如下：①对谱聚类基本原理和典型算法做了较为全面的分析和研究，利用谱聚类的特性实现了在复杂数据集上的聚类。
The improvement of clustering can strengthen the algorithms local optimization capability and reduce the computation complexity considerably while eliminating some outliers.
聚类方式的改进不仅增加了算法的局部寻优能力，有效地减少了计算的复杂度，而且还具备一定的野值剔除能力。
The improvement of clustering can strengthen the algorithms local optimization capability and reduce the computation complexity considerably while eliminating some outliers.
聚类方式的改进不仅增加了算法的局部寻优能力，有效地减少了计算的复杂度，而且还具备一定的野值剔除能力。
应用推荐