搜索资源列表
ncm.v1.1
- k近邻算法源代码,用matlab语言编写的,适用于分类及相关问题的分析-K neighbor algorithm source code, written with matlab language, suitable for classification and analysis of the related problem
CAL500_KNN
- 使用粒子群算法优化k近邻算法,达到多标签分类的代码,使用CAL500的数据集-the multi-label classification based on evolutionary computing using KNN
KNNpython
- python实现的k-近邻算法,用于数据分类。机器学习实战-k- nearest neighbor python implemented for data classification. Machine learning combat
kNN
- KNN,k近邻算法,内附测试数据集,机器学习实战源码-KNN, k nearest neighbor algorithm, enclosing the test data set, machine learning practical source
KNN
- K近邻算法的python代码,针对婚恋网站调查数据-the python code especially for k-nearest algorithm on the condition of wedding data
KNN-implement-by-python
- 该程序是用python编写一个K近邻算法,通过该例子可以掌握K近邻算法,是学习数据挖掘的一个高效的算法。-The program is written in python a K-nearest neighbor algorithm, this example can grasp the K-nearest neighbor algorithm, a learning data mining and efficient algorithms.
kNN
- k近邻算法,可以简单准确的对数据,按照给定点与设定点的欧氏距离大小,进行分类-K nearest neighbor algorithm, can be simple and accurate data, in accordance with the set point to the point and the Euclidean distance of the set point size, classification
KNN
- 《机器学习实战》K近邻算法的代码实现以及数据,真实可靠,欢迎使用-" Machine learning real" K nearest neighbor algorithm code and data, real reliable, welcome
kNN
- 使用k-近邻算法改进约会网站的配对算法和使用k-近邻算法的手写数字识别系统-Use k- nearest neighbor matching algorithm to improve the dating sites and use of k- nearest neighbor handwritten numeral recognition system
python-code-for-Machine-learning
- 用于机器学习的全方位python代码,包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据:回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
KNN
- KNN K近邻算法 来自视觉机器学习中的代码-The KNN K Nearest Neighbor algorithm comes the code in the visual machine learning
kNN
- 机器学习实战中,K近邻算法的实现。包括算法实现,算法分类测试-Machine learning combat, the realization of K nearest neighbor algorithm. Including the algorithm, the algorithm classification test
KNN
- kNN,k-近邻算法,caiyong解决分类问题-KNN, k- u8FD1 u90BB u7B97 u6CD5 uFF0C u89E3 u51B3 u5206 u7C7B u95EE u9898
mechine-learning
- 本书第一部分主要介绍机器学习基础,以及如何利用算法进行分类,并逐步介绍了多种经典的监督学习算法,如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树(CART)算法等。第三部分则重点介绍无监督学习及其一些主要算法:k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具。 全书通过精心编排的实例,切入日常工作任务,摒弃学术化语言,利用高效的可复用Python代码来阐释如何处理统
K近邻_KNN
- matlab的一份K邻近值KNN分类算法(A K neighbor value KNN classification algorithm for matlab)
类比法
- 型的类比学习方法是K-最近邻方法,它属于懒散学习法,相比决策树等急切学习法,具有训练时间短,但分类时间长的特点。K-最近邻算法可以用于分类和聚类中(The analogy learning method is K- nearest neighbor method. It belongs to the lazy learning method. Compared with the decision tree learning method, it has the characteristics o
机器学习实战(Peter Harrington 著)
- K-近邻算法,机器学习第二章节部分第一个程序源码,python3.6可运行(K- nearest neighbor algorithm, machine learning section second chapter, the first program source code, python3.6 can run)
KNN
- K近邻算法,设定K类后,用该算法进行分类任务(KNN algorithm,this method can be used to execute classify mission)
最近邻分类代码
- 在linux 下C语言实现最近邻聚类算法,工程已经使用(near K neighbor cluster)
FaceRec
- 对人脸进行特征提取,并使用K近邻算法得其识别率(Feature extraction is performed on the face and its recognition rate is obtained using K nearest neighbor algorithm)