搜索资源列表
SVM_KNN(matlab)
- support vector manchine and kNN分类的源代码.支持向量机是数据处理的比较良好的方法.最紧邻分类也是比较经典的
deboor-cox.rar
- 目的:运用强化学习!多分类器集成!降维方法等最新计算机技术,结合细胞病理知识,设计制作/智能化肺癌细胞病理图像诊断系统0"方法:采集细胞图像,运用基于强化学习的图像分割法将细胞区域从背景中分离出来 运用基于样条和改进2方法对重叠细胞进行分离和重构 提取40个细胞特征用于贝叶斯!支持向量机!紧邻和决策树4种分类器,集成产生肺癌细胞分类结果 建立肺癌细胞病理图库,运用基于等降维方法对细胞进行比对,给予未定型癌细胞分类"结果:/智能化肺癌细胞病理诊断系统0应用于临床随机1200例肺
KNN
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K nearest neighbor (KNN) of matlab source code, procedures legible
knn
- 一个关于k最近临法分类的matlab程序-A temporary law on the k most recent classification procedures matlab
MIL-Ensemble
- This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
Matlab_interface_to_SVM_light
- Anton s Matlab interface to SVM light 提供Joachims的SVM light 使用非常方便-Anton s Matlab interface to SVM light provide Joachims s SVM light is very convenient to use
KNNclassifier
- 一个很简单的练习使用KNN分类的代码,学习使用.将K分类写成了函数,方便使用-A very simple exercise using the KNN classification code, learning to use. Will be written in the function K classification, user-friendly
M-KNNalgorithm
- 用matlab实现的算法，速度非常快，是knn的经典算法。-The realization of the algorithm using matlab, very fast, is a classic knn algorithm.
knn
- Dear all: this is the k-nn algorithm, written in Matlab.
kNearestNeighbors
- 一个简单实用的K紧邻分类器 -KNN
19854816mitmatlab
- 包含模式识别里很多函数的实现，分类器，KNN算法等，对学习者很有帮助-Include pattern recognition where a lot of function implementation, classifier, KNN algorithm, useful for learners
knn_demo
- k近邻算法(knn, k nearest neighbor)-k nearest neighbor (knn, k nearest neighbor)
KNN
- 使用matlab实现的KNN分类器，可以设置最近邻的个数-Implemented using the KNN classifier matlab, you can set the number of nearest neighbor
kNN
- 用matlab实现K近邻算法，用于数据挖掘的分类-K-nearest neighbor algorithm for the classification of data mining using matlab
KNN
- 基于PCA降维的KNN，最近邻分类matlab实现。-PCA dimensionality reduction based the KNN, the nearest neighbor classification matlab.
KNN
- KNN 算法实现二维平面内的两类样本点的分类。MATLAB-Using KNN to solve the problem of classifying two kinds of sample in the 2-D plane
knn
- KNN算法的matlab实现，适合算法初学者，可加深对其的理解(Matlab implementation of KNN algorithm)
KNN分类器
- 一、用python或matlab编写一个KNN分类器 训练集为semeion_train.csv（手写体识别） 测试集为semeion_test.csv 计算在测试集上错误率（k=1,k=3,k=5,k=10） ?(1. Write a KNN classifier with Python or matlab Training set is semeion_train.csv (handwriting recognition) The test set is semeion_test
knn
- matlab 实现鸢尾花数据集的KNN算法(Matlab implementation of KNN algorithm)
matlab代码
- Matlab代码，根据算法原理自己编写的基本算法的代码，有：KNN，层次聚类，C均值，最邻近算法。包括自己挑选的数据集，对算法准确率的测试。(Matlab code, the code of the basic algorithm written by itself according to the algorithm principle, there are: KNN, hierarchical clustering, C-means, nearest neighbor algorithm.