代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
代码结果 2,639
www.eeworm.com/read/133393/14045013
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -
www.eeworm.com/read/386950/8716553
m c4_5testfun.m
%C4_5TestFun.m
%Shiliang Sun (shiliangsun@gmail.com), Apr. 8, 2007
%Using the learned 4.5 decision tree to classify samples
%This code is based on the C4_5.m file from "Classification Toolbox for M
www.eeworm.com/read/298374/7964824
m c4_5testfun.m
%C4_5TestFun.m
%Shiliang Sun (shiliangsun@gmail.com), Apr. 8, 2007
%Using the learned 4.5 decision tree to classify samples
%This code is based on the C4_5.m file from "Classification Toolbox for M
www.eeworm.com/read/492055/6423579
m project3.m
function Porject3()
clear;
clc;
close all;
load ex1.mat;
labels = wdbc(:,1);
data = wdbc(:,2:end);
[confmat1,acc1,accstd1]=linear_classify_Mfold(data,lab
www.eeworm.com/read/223301/14647330
txt [matlab]支持向量机(svm)用于分类的算法实现.txt
文章来源: http://www.eston.com.cn/bbs/topic.asp?topic_id=5089
function [D, a_star] = SVM(train_features, train_targets, params, region)
% Classify using (a very simple implementation of) the supp
www.eeworm.com/read/213679/15127752
cpp myview.cpp
// myview.cpp : implementation file
//
#include "stdafx.h"
#include "mfc毕业设计.h"
#include "myview.h"
//#include "classify.h"
#ifdef _DEBUG
#define new DEBUG_NEW
#undef THIS_FILE
static char
www.eeworm.com/read/286662/8751708
m id3.m
function test_targets = ID3(train_patterns, train_targets, test_patterns, params)
% Classify using Quinlan's ID3 algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets - Train ta
www.eeworm.com/read/372113/9521113
m id3.m
function test_targets = ID3(train_patterns, train_targets, test_patterns, params)
% Classify using Quinlan's ID3 algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets - Train ta
www.eeworm.com/read/362008/10023813
m id3.m
function test_targets = ID3(train_patterns, train_targets, test_patterns, params)
% Classify using Quinlan's ID3 algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets - Train ta
www.eeworm.com/read/357874/10199072
m id3.m
function test_targets = ID3(train_patterns, train_targets, test_patterns, params)
% Classify using Quinlan's ID3 algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets - Train ta