C-Mean聚類算法源代碼，通過對(duì)輸入數(shù)據(jù)進(jìn)行訓(xùn)練和分類類別設(shè)定，能夠得到數(shù)據(jù)的聚類圖。
上傳時(shí)間： 2013-12-26
上傳用戶：colinal
花蝴蝶,利用HCM分群,模糊分群,hard-C mean
上傳時(shí)間： 2014-01-05
上傳用戶：hoperingcong
自行implement的k-mean(含fuzzy c mean)，可以直接於vc++針對(duì)大量數(shù)據(jù)進(jìn)行分群的動(dòng)作
標(biāo)簽： implement k-mean fuzzy mean
上傳時(shí)間： 2017-02-04
上傳用戶：woshini123456
實(shí)現(xiàn)了Fuzzy C-Mean的方法，這是一種基于模糊數(shù)學(xué)的聚類方法，很好用！
上傳時(shí)間： 2017-04-25
上傳用戶：520
一種c語言算法 k-mean.c
上傳時(shí)間： 2013-12-06
上傳用戶：頂?shù)弥?/p>
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).
標(biāo)簽： zero-mean Generate sequence variance
上傳時(shí)間： 2016-03-04
上傳用戶：朗朗乾坤
The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
標(biāo)簽： Matlab-interfaces inference interface the
上傳時(shí)間： 2016-08-27
上傳用戶：gxrui1991
模式識(shí)別 k-mean算法程序，用Visual c++編寫
標(biāo)簽： k-mean 模式識(shí)別 算法 程序
上傳時(shí)間： 2013-12-12
上傳用戶：1079836864
neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network layers are easily defined. An entire multi-layer network can be created in a few lines, and trained with two functions. Layers can be connected to one another easily and painlessly.
標(biāo)簽： Programmer Networks entirely network
上傳時(shí)間： 2013-12-24
上傳用戶：liuchee
GPS 接收程序 DEMO。 HsGpsDll Library 1.1 A GPS Control/Component for C/C++ HsGpsDll is a Windows Dynamic Link Library which provides access to any NMEA-183 compliant GPS receiver via a serial communications port. HsGpsDll is designed for use from Visual C, Visual Basic or other languages, capable of calling DLL functions. HsGpsDll allows a user application to read from a GPS device the current GPS position fix, velocity over ground (speed in kilometers per hour), plus number of of sattelites in view, current altitude (against mean sea level) and UTC date and time
標(biāo)簽： HsGpsDll GPS Component Control
上傳時(shí)間： 2014-07-17
上傳用戶：thuyenvinh
蟲蟲下載站版權(quán)所有 京ICP備2021023401號(hào)-1
