登录
首页 » Java » pattern_recognition_v6.1

pattern_recognition_v6.1

于 2020-06-29 发布 文件大小:1139KB
0 249
下载积分: 1 下载次数: 340

代码说明:

  完整的模式识别库,包括矩阵运算,各种模式识别算法,如K均值、SVM、RVM、NN、LDA等(Complete pattern recognition library, including matrix computation, a variety of pattern recognition algorithms, such as K-means, SVM, RVM, NN, LDA, etc.)

文件列表:

pattern_recognition_v6.1
........................\#jdf.cc#
........................\actual_error.txt
........................\Algorithm.class
........................\Algorithm.html
........................\Algorithm.html,v
........................\Algorithm.java
........................\Algorithm.java,v
........................\AlgorithmED.class
........................\AlgorithmED.html
........................\AlgorithmED.html,v
........................\AlgorithmED.java
........................\AlgorithmED.java,v
........................\AlgorithmKF.class
........................\AlgorithmKF.html
........................\AlgorithmKF.html,v
........................\AlgorithmKF.java
........................\AlgorithmKF.java,v
........................\AlgorithmKMeans.class
........................\AlgorithmKMeans.html
........................\AlgorithmKMeans.html,v
........................\AlgorithmKMeans.java
........................\AlgorithmKMeans.java,v
........................\AlgorithmLBG.class
........................\AlgorithmLBG.html
........................\AlgorithmLBG.html,v
........................\AlgorithmLBG.java
........................\AlgorithmLBG.java,v
........................\AlgorithmLBG.java_2
........................\AlgorithmLDA.class
........................\AlgorithmLDA.html
........................\AlgorithmLDA.html,v
........................\AlgorithmLDA.java
........................\AlgorithmLDA.java,v
........................\AlgorithmLDA2.class
........................\AlgorithmLDA2.html
........................\AlgorithmLDA2.html,v
........................\AlgorithmLDA2.java
........................\AlgorithmLDA2.java,v
........................\AlgorithmLDAPCA.1java
........................\AlgorithmLDAPCA.class
........................\AlgorithmLDAPCA.html
........................\AlgorithmLDAPCA.html,v
........................\AlgorithmLDAPCA.java
........................\AlgorithmLDAPCA.java,v
........................\AlgorithmLP.class
........................\AlgorithmLP.html
........................\AlgorithmLP.html,v
........................\AlgorithmLP.java
........................\AlgorithmLP.java,v
........................\AlgorithmNN.class
........................\AlgorithmNN.html
........................\AlgorithmNN.html,v
........................\AlgorithmNN.java
........................\AlgorithmNN.java,v
........................\AlgorithmPCA.class
........................\AlgorithmPCA.html
........................\AlgorithmPCA.html,v
........................\AlgorithmPCA.java
........................\AlgorithmPCA.java,v
........................\AlgorithmPCA2.class
........................\AlgorithmPCA2.html
........................\AlgorithmPCA2.html,v
........................\AlgorithmPCA2.java
........................\AlgorithmPCA2.java,v
........................\AlgorithmPF.class
........................\AlgorithmPF.html
........................\AlgorithmPF.html,v
........................\AlgorithmPF.java
........................\AlgorithmPF.java,v
........................\AlgorithmRVM.class
........................\AlgorithmRVM.html
........................\AlgorithmRVM.html,v
........................\AlgorithmRVM.java
........................\AlgorithmRVM.java,v
........................\AlgorithmSVM.class
........................\AlgorithmSVM.html
........................\AlgorithmSVM.html,v
........................\AlgorithmSVM.java
........................\AlgorithmSVM.java,v
........................\allclasses-frame.html
........................\allclasses-frame.html,v
........................\allclasses-noframe.html
........................\allclasses-noframe.html,v
........................\applet.html
........................\applet.html,v
........................\BiNormal.class
........................\BiNormal.html
........................\BiNormal.html,v
........................\BiNormal.java
........................\BiNormal.java,v
........................\Classify.class
........................\Classify.html
........................\Classify.html,v
........................\Classify.java
........................\Classify.java,v
........................\constant-values.html
........................\constant-values.html,v
........................\Covariance.class
........................\Covariance.html

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • NB
    说明:  朴素贝叶斯算法,以函数形式实现,花了一个上午的时间(Naive Bayes algorithm, in order to function the form of implementation, a morning flower time)
    2009-03-23 23:02:56下载
    积分:1
  • fft2d
    fft的文件,fortran环境下运行!欢迎指正!(fft documents, fortran environment running! Please correct me!)
    2021-05-08 18:18:35下载
    积分:1
  • Vmodel
    汽车仿真模型,包含七自由度仿真模型、m文件和数学方程式(Car simulation model,Contains seven degrees of freedom simulation model m file and mathematical equations)
    2021-03-30 16:09:09下载
    积分:1
  • SPH-final
    sph溃坝模拟,非常经典的sph计算,采用matlab编写(sph dam break simulation, very classic sph calculated, hahahahahahahahahah)
    2021-01-14 21:58:46下载
    积分:1
  • na7
    Orthogonal Polynomials Approximation 数值分析,计算正交基多项式的系数 (Given a function f and a set of m >0 distinct points . You are supposed to write a function to approximate f by an orthogonal polynomial using the exact function values at the given m points with a weight assigned to each point . The total error must be no larger than a given tolerance. Format of function int OPA( double (*f)(double t), int m, double x[], double w[], double c[], double*eps ) where the function pointer double (*f)(double t) defines the function f int m is the number of points double x[] contains points double w[] contains the values of a weight function at the given points x[] double c[] contains the coefficients of the approximation polynomial double*eps is passed into the function as the tolerance for the error, and is supposed to be returned as the value of error. The function OPA is supposed to return the degree of the approximation polynomial. Note: a constant Max_n is defined so that if the total error is still not small enough when n = Ma)
    2011-11-27 11:47:21下载
    积分:1
  • db
    本程序用在测试采煤机煤矸识别系统中,验证小波算法(Wavelet Algorithm for caving coal)
    2013-08-10 18:33:01下载
    积分:1
  • SUBROUTINE-FILM-DFLUX01-pavement-r
    ABAQUS的二次开发,道路厚度与温度对路基的影响,来自廖公云老师的《ABAQUS有限元软件在道路工程中的应用》(ABAQUS secondary development, the road thickness and temperature of the roadbed, from Liao Gongyun teacher "ABAQUS finite element software in road works)
    2021-03-22 20:19:16下载
    积分:1
  • clc
    一维热传导模型,一维稳态热传导模型,有限差分法(One dimensional heat conduction model)
    2018-09-15 08:40:17下载
    积分:1
  • stack100
    用栈的思想实现的简易计算器,可直接输入表达式,然后自动计算结果(Ideology with a stack of simple calculator, you can directly enter an expression, then automatically calculated)
    2016-06-02 11:23:08下载
    积分:1
  • Matrix
    最小二乘法的c语言程序,能求解多元方程组,具有良好的效果(The C language program of the least square method can solve the multiple equations. It has good effect.)
    2017-12-08 10:39:40下载
    积分:1
  • 696516资源总数
  • 106409会员总数
  • 8今日下载