C-Means相关论文
研究了C-means和FCM两种聚类分割算法对侧扫声呐图像的应用,其中FCM在C-means的基础上引入了隶属度的模糊概念,增加了计算量的同时......
In the petroleum industry, sensor data and information are valuable. It can detect, predict and help to understand proce......
风电场等值是含风电场接入电网分析计算的重要技术手段。为降低风电场等值的难度，提高风电场分群的效率，本文基于风电机组实际运行中......
In this paper,we elaborate on residual-driven Fuzzy C-Means(FCM)for image segmentation,which is the first approach that ......
针对传统C-Means算法在图像分割应用中的缺陷,本文提出一种蚁群算法(Ant Colony Optimization ACO)融合C-Means算法的图像聚类分割......
针对传统C-Means算法在图像分割应用中的缺陷,本文提出一种蚁群算法(Ant Colony Optimization ACO)融合C-Means算法的图像聚类分割......
The complex geometry and topology of soil is widely recognised as the key driver in many ecological processes. X-ray com......
含影响力因子的硬聚类算法（HCMef）在对多于两类规模不均的样本进行聚类时，影响力因子指数对聚类结果影响很大，取值不当会引起类消失。......
本文提出了一种利用遗传算法来对传统的聚类算法中的目标函数进行寻优的聚类分析方法，实验结果表明，本文方法得到最优（或近似最优）解的......
通过借鉴生物免疫系统中的克隆选择原理和记忆机制,提出了一种人工免疫C-均值混合聚类算法. 该算法采用了新的克隆选择方法,通过亲......
以太赫兹图像分割为研究内容,分析了太赫兹图像的空频域特征,并在此基础之上提出了一种基于模糊局部信息C均值聚类的分割算法。由......
聚类问题在一定条件下可以归结为一个带约束的优化问题.遗传算法作为一种鲁棒性很强的优化算法,具有很强的全局寻优能力.提出了一......
Automated measurement of three-dimensional cerebral cortical thickness in Alzheimer’s patients using
Our purpose in this study was to develop an automated method for measuring three-dimensional (3D) cerebral cortical thic......
In this paper, we propose new fuzzy c-means method for improving the magnetic resonance imaging (MRI) segmenta- tion. Th......
针对支持向量机进行图像分割时需要用户设定训练样本问题,提出一种根据图像特征使用C均值聚类算法自动获取支持向量机训练样本的方......
消失点检测是计算机视觉中的一个经典问题。给定一幅图像,通过一定的方法得到图像所对应的三维场景的消失点。消失点检测作为一种......
聚类是按照事物间的某种属性将其归入不同的类别,它不需先验知识,而是由机器学习后自动分类,属于无监督的学习方法.聚类分析是多元......
模糊C均值（Fuzzy C-Means）算法是在K-Means聚类算法的基础上,利用模糊数学的原理进行的改进,讨论了它的数学原理及使用C＋＋语言编程实现......
Data clustering techniques have been applied to ex- tract information from gene expression data for two decades. A large......
Fingerprint segmentation is a crucial step in fingerprint recognition system, and determines the results of fingerprint ......
Suppressed fuzzy c-means (S-FCM) clustering algorithm with the intention of combining the higher speed of hard c-means c......
A dynamic parallel forecasting model is proposed,which is based on the problem of current forecasting models and their c......
The main function of electronic support measure system is to detect threating signals in order to take countermeasures a......
Automated Colorization of Grayscale Images Using Texture Descriptors and a Modified Fuzzy C-Means Cl
A novel example-based process for Automated Colorization of grayscale images using Texture Descriptors (ACTD) without an......
Minimally Invasive Spine surgery (MISS) was developed to treat disorders of the spine with less disruption to the muscle......
This paper discusses a comparative study of two modeling methods based on multimodel approach. The first is based on C-m......
The opening of gated community to expand the micro-road network in the urban traffic system is a hot topic on the urban ......
本文提出了一种基于自适应粒子群优化(APSO)和模糊C均值聚类的图像分割算法—自适应粒子群优化和模糊C均值聚类算法(APSOF)。实验......
A Configurable Routing Protocol for Improving Lifetime and Coverage Area in Wireless Sensor Networks
The particularities of Wireless Sensor Networks require specially designed protocols. Nodes in these networks often poss......
In this paper, we consider a fuzzy c-means (FCM) clustering algorithm combined with the deterministic annealing method a......
Feature selection is very important to obtain meaningful and interpretive clustering results from a clustering analysis.......
Fuzzy C-means (FCM) is simple and widely used for complex data pattern recognition and image analyses. However, selectin......
Aimed at the problem that the traditional suppressed fuzzy C-means clustering algorithms ignore the real needs of differ......
DNA electrophoresis gel is an important biologically experimental technique and DNA sequencing can be defined by it. Tra......
聚类是数据分析、知识发现和智能决策等领域中的重要研究内容。模糊C均值(Fuzzy C-means, FCM)聚类是应用最为广泛的模糊聚类方法......
