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Suitable sampling technique in
contextual fuzzy c-means classification
of remotely sensed data for land cover
mapping
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Driver Drowsiness Classification Using Fuzzy
Wavelet Packet Based Feature Extraction Algorithm
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用于情感分析的模糊深度信念网络FDBN,提高了精度(Fuzzy deep belief networks for semi-supervised
sentiment classification)
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提出了“工况块”的概念, 用工况的平均行驶车速和行驶距离作为特
征参数, 将统计的理论工况进行分类, 通过模糊控制器, 对实际工况进行模糊分析, 将其划
为对应的某一类. 为更准确地反映行驶工况, 还提出以时间、距离、最大车速等10个参数
作为工况的相关特性参数, 用聚类分析的方法对车辆行驶工况的类别进行了更细致的分
析和辨识.(The concept of "working condition block" is put forward, and the average d
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Mall system with corresponding in the mobile phone version of the +APP to achieve seamless support, bulk upload pictures, one can upload any images, support a variety of online payment interface, such as Alipay, online banking online, TenPay interfac
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Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local minima, in order to overcome the shortcomings of the genetic algorithm is applied to fuzzy C- means algorithm (FCM) opti
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模糊C均值分类的实现matlab代码,附上具体图像的处理过程及实现结果(Fuzzy C classification of the realization of matlab code, attached to the specific image processing and implementation results)
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模糊聚类识别算法,可以用于机械故障诊断中的故障分类(Fuzzy clustering recognition algorithm can be used in fault classification of mechanical fault diagnosis)
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模糊c-均值聚类算法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,一般用于故障识别与分类。(Fuzzy c- mean clustering algorithm obtains the membership degree of every sample point to all class centers by optimizing the objective function, and determines the classifi
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使用模糊C均值聚类(FCM)的方法对状态进行分类,其优点首先是可以根据实际情况自动确定聚类中心,减少人工干涉的因素,其次,对状态特征参数不是进行硬分类,而是通过隶属度的表征方式对其聚类,更加符合现实状态类别之间不具备明显界限的实际问题。(The use of fuzzy C mean clustering (FCM) method to classify the state, its advantage is first can automatically determine the clust
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模糊聚类FCM 能够实现数据的分类与分组,确定聚类数,进行模糊划分(Fuzzy clustering FCM can achieve data classification and grouping, determine the number of clusters, fuzzy partition)
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雨楠在线商城多功能简易版采用DIV+CSS构架,
产品分类、模糊搜索、团购秒杀、特价产品(Yu Nan online shopping mall multifunctional simple version adopts DIV+CSS architecture.
Product classification, fuzzy search, group buying spike, special products.)
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遗传算法改进的模糊C-均值聚类MATLAB源码.模糊C-均值算法容易收敛于局部极小点,为了克服该缺点,将遗传算法应用于模糊C-均值算法(FCM)的优化计算中,由遗传算法得到初始聚类中心,再使用标准的模糊C-均值聚类算法得到最优分类结果。(Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local m
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一类模糊神经网络用于边坡分类预测,注释详细,内容丰富(A kind of fuzzy neural network is used for slope classification prediction, with detailed annotations and rich content.)
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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。(Fuzzy c-means clustering algorithm or FCM. Among many fuzzy clustering algorithms, the Fuzzy C-Means algori
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运用python进行模糊聚类分析步骤如下:建立数据矩阵;数据标准化;建立模糊相似矩阵;改造相似关系为等价关系;确定分类数(The steps of Python fuzzy clustering analysis are as follows: establishing data matrix; standardizing data; establishing fuzzy similarity matrix; transforming similarity relation into equiv
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淘宝产品分类数据: 产品五级分类展示:一级分类--二级分类--产品列表--详细介绍(名称,图片,市场价,会员价,是否推荐,功能介绍等) 产品搜索:关键字模糊搜索(Taobao product classification data: product five level classification display: first level classification - second level classification - Product List - detailed introdu
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