Due to the lack of robustness in the KNN classifier and time complexity in the FCM algorithm a new method has been proposed called the IRIS model with fuzzy k-means clustering algorithm and feature extraction using principal component analysis (PCA) and hidden Markov model clustering (HMM). ...
其中m>1 为模糊加权指数,U=[uij]c×n为 c 个聚类中心vi相对于 n 个样本数据点xj的隶属度矩阵,dij为欧氏距离。 引入拉格朗日乘子,把原带约束的优化问题转化为无约束的优化问题。 ∂ J m ∂vk =∂∂vk∑i=1c∑j=1nuijm(vi−xj)2+∂∂vk∑j=1nλj(∑i=1cuij−1) ...
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The organization of the subsequent sections of this paper is as follows. Some related works about FuzzyK-means Clustering and deep convolutional autoencoder are given in Section 2. The presented RD-FKC model and an effective algorithm are elaborated in Section 3. Compared experiments and result an...
浅谈模糊C均值聚类(Fuzzy C-means Clustering) 定义:模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的。 假设样本集...
Here we have provided movecentroid's output to Fuzzy clustering as criteria, movecentroid is the base function of K-means algorithm as in Fuzzy Mean Point Clustering Neural Network (FMPCNN) algorithm, calculation of cluster based on pre-defined criteria and scope is done. In the experiment we...
Thefuzzy c-means(FCM) algorithm is one of the most widely used fuzzy clustering algorithms. The centroid of a cluster is calculated as the mean of all points, weighted by their degree of belonging to the cluster: In this article, we’ll describe how to compute fuzzy clustering using the ...
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模糊K均值聚类 1. For getting quickly the color image,hue-saturation-intensity(HSI) color space is used in which an enhanced fuzzy K means clustering method is designed. 为了使仿人机器人快速获得颜色图像,采用HSI颜色空间,并对现有算法进行了改进,根据每个像素点HSI3值中有关I值的公式对当前像素的主...