In fuzzy cluster analysis, many algorithms have been developed. In general, the most widely used is the Fuzzy c-means Algorithms (FCMA).
標簽： algorithms developed analysis cluster
上傳時間： 2013-12-04
上傳用戶：阿四AIR
首先對原始數據 歸一化 然后進行PCA分析 采用PCs作為特征， 進行模糊聚類分析 fuzzy c-means method
上傳時間： 2016-04-21
上傳用戶：xymbian
Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian mixture model. gsamp - Generates sample from Gaussian distribution. cmeans - c-means (or K-means) clustering algorithm. mahalan - Computes Mahalanobis distance. pdfgauss - Computes probability for Gaussian distribution. pdfgmm - Computes probability for Gaussian mixture model. sigmoid - Evaluates sigmoid function.
標簽： distribution Probability estimation functions
上傳時間： 2016-04-28
上傳用戶：13188549192
K-means一個用C++實現的聚類算法
上傳時間： 2015-04-26
上傳用戶：talenthn
BP神經網絡的C語言實現 BP神經網絡解決異或問題 canny源代碼 HMM的C語言實現 isodata K-MEANS 車牌識別系統 矢量量化的C語言實現
上傳時間： 2015-06-21
上傳用戶：gut1234567
OpenCV means Intel® Open Source Computer Vision Library. It is a collection of C functions and a few C++ classes that implement some popular Image Processing and Computer Vision algorithms. OpenCV has cross-platform middle-to-high level API that consists of a few hundreds (>300) C functions. It does not rely on external libraries, though it can use some when it is possible. OpenCV is free for both non-commercial and commercial use (see the license for details). OpenCV provides transparent interface to Intel® Integrated Performance Primitives (IPP). That is, it loads automatically IPP libraries optimized for specific processor at runtime, if they are available. More information about IPP can be retrieved at http://www.intel.com/software/products/ipp/index.htm -------------------------------------------------------------------------------- 本文是opencv的入門教程
標簽： collection functions Computer Library
上傳時間： 2015-09-12
上傳用戶：zhangyi99104144
k-means算法 C++實現
上傳時間： 2013-12-11
上傳用戶：lanwei
基本的k-means聚類算法c++實現，對于理解算法的過程非常有幫助。 Basic implementation of k-means algorithm with c++, it is very helpful to understand the procedure of k-means algorithm.
上傳時間： 2013-12-01
上傳用戶：wangchong
K-Means動態聚類算法源程序（c++）
上傳時間： 2014-08-17
上傳用戶：PresidentHuang
K-means algorithm, written by visual c++ 6
標簽： algorithm K-means written visual
上傳時間： 2014-11-10
上傳用戶：cylnpy
