搜索资源列表
HCM
- FCM与硬聚类算法,(HCM)的VB6.0实现及其应用-FCM clustering algorithm and hardware, (HCM) and its application VB6.0
pbox
- picturebox有的属性基本上都有,扩展的图形方法有: DrawBezier DrawRoundRect DrawCurve DrawPie DrawPolygon DrawCircle DrawLine GetRGB 扩展的图像处理方法主要有: GetPictureData ShowPicture Invert GrayScale Exposal HistGramEqualize LogCalc ExpCalc Cle
FCM(HCM)VB6[1]
- 就这个 的 的 我-of this I
shuju.xls
- 性指标的价值函数达到最小。FCM与HCM的主要区别在于FCM用模糊划分,使得每个给定数据点用值在0,1间的隶属度来确定其属于各个组的程度。与-indicators of the value of minimizing function. HCM FCM with the main difference is fuzzy FCM, broken down to make each set of data points with the v
ex16
- 花蝴蝶,利用HCM分群,模糊分群,hard-C mean
FCM_Cluster
- 首先介绍模糊集基本知识 其次K均值聚类算法(HCM)介绍 最后重点介绍了模糊C均值聚类, 模糊聚类是一种很重要思想,最近再图像处理中就用的了这种思想,也算是一点思维创新
VB超全图像处理
- picturebox有的属性基本上都有,扩展的图形方法有: DrawBezier DrawRoundRect DrawCurve DrawPie DrawPolygon DrawCircle DrawLine GetRGB 扩展的图像处理方法主要有: GetPictureData ShowPicture Invert GrayScale Exposal HistGramEqualize LogCalc ExpCalc ClearIsol
HCM
- FCM与硬聚类算法,(HCM)的VB6.0实现及其应用-FCM clustering algorithm and hardware, (HCM) and its application VB6.0
pbox
- picturebox有的属性基本上都有,扩展的图形方法有: DrawBezier DrawRoundRect DrawCurve DrawPie DrawPolygon DrawCircle DrawLine GetRGB 扩展的图像处理方法主要有: GetPictureData ShowPicture Invert GrayScale Exposal HistGramEqualize LogCalc ExpCalc Cle
FCM(HCM)VB6[1]
- 就这个 的 的 我-of this I
shuju.xls
- 性指标的价值函数达到最小。FCM与HCM的主要区别在于FCM用模糊划分,使得每个给定数据点用值在0,1间的隶属度来确定其属于各个组的程度。与-indicators of the value of minimizing function. HCM FCM with the main difference is fuzzy FCM, broken down to make each set of data points with the v
ex16
- 花蝴蝶,利用HCM分群,模糊分群,hard-C mean-Butterfly flower, using HCM clustering, fuzzy clustering, hard-C mean
FCM_Cluster
- 首先介绍模糊集基本知识 其次K均值聚类算法(HCM)介绍 最后重点介绍了模糊C均值聚类, 模糊聚类是一种很重要思想,最近再图像处理中就用的了这种思想,也算是一点思维创新-First of all, introduce basic knowledge of fuzzy sets was followed by K-means clustering algorithm (HCM) focuses on the introduct
PR_HCMv0917
- 模式识别中的HCM算法,(系统聚类) 自己编写的,通过了测试-Pattern Recognition HCM algorithm (hierarchical clustering) have written, passed the test
GOFuzzyv1.0
- 数据挖掘,多种聚类算法.FCM, HCM, SVM, 等各种柔性聚类方法。-Data mining, a variety of clustering algorithms. FCM, HCM, SVM, such as flexible clustering method.
FCM_HCM_2
- 这个程序简单实用,提供以模糊聚类程序供您使用-This procedure is simple and practical to provide fuzzy clustering procedure for you to use
HCM
- 使用matlab实现的有界面的HCM算法,界面友好!-Use of matlab interface to achieve the HCM algorithm, user-friendly!
FCM
- 基于matlab写的HCM和FCM程序,以及快速算法KFCM算法,对写毕业设计的很有用-Based on matlab HCM and FCM written procedures and fast algorithm for writing, KFCM algorithm of graduation design is very useful
HCM
- HCM是模糊聚类,k均值算法 -hcm
image-segmentation-of-HCM-and-FCM
- 是关于HCM和FCM的图像分割效果比较的matlab源代码程序,有比较的结果。-It is about image segmentation comparison based on HCM and FCM, a matlab code.