defhandwritingClassTest():"""函数说明:测试kNN手写体识别算法"""path='kNN_hand_writing/trainingDigits'hwMat,hwLabels=loadTrainData(path)#分类错误计数errorCount=0.0test_hwMat,test_hwLabels=loadTrainData('kNN_hand_writing/testDigits')numTestVecs=len(test_hwMat)foriinrange(numTestVecs):classifier...
The k-nearest neighbors (KNN)is a nonparametric ,supervised learning classifier, which uses proximity to make classifications or predictions about the grouping of an individual data point. It is one of the popular and simplest classification and regression classifiers used in machine learning today. K...
"""defknn_classification(in_data,x_data,y_label,k):data_number,_=x_data.shape distance=np.sqrt(np.power((np.tile(in_data,[data_number,1])-x_data),2).sum(axis=1))print("计算出的距离为:",distance)distance=distance.argsort()# 返回的是[1, 2, 0, 3, 4, 5],意思是最小的在索...
kNN的计算结果,lables中的一个 '''# 获取dataSet中向量数量,shape返回numpy.array的维度,返回值为tuple类型dataSetSize=dataSet.shape[0]# 把inX重复至与dataSet数量相同并与其做差,其中tile把inX重复(dataSetSize, 1)次构造成一个numpy.array,第二个参数指定维度diffMat=tile(inX,(dataSetSize,1))-dataSet# 将d...
in_data: 目标分类样本 x_data: 已知标签的样本属性特征 y_label:样本标签 k:K-近邻当中的k,也就是自定义的超参数 Return: result: 最终的分类结果 """defknn_classification(in_data, x_data, y_label, k): data_number, _ = x_data.shape ...
ifkeynotinmydict: mydict[key]=0 mydict[key]+=value classKNNClassifier: def__init__(self,K=None,dist_func="c"): self.__word_dict=set() self.__training_samples=[] self.__K=11 ifK!=None: self.__K=K sys.stderr.write("K number = %d!\n"%self.__K) ...
Machine Learning in action –kNN(已勘误) Machine Learning in action –kNN 最近在自学机器学习,应导师要求,先把《Machine Learning with R》动手刷了一遍,感觉R真不能算是一门计算机语言,感觉也就是一个功能复杂的计算器。所以这次就决定使用经典教材《Machine Learning in action》。因为开学得换work station ...
KNN is a simple, supervised machine learning (ML) algorithm that can be used for classification or regression tasks - and is also frequently used in missing value imputation. It is based on the idea that the observations closest to a given data point are the most "similar" observations in ...
NLPCC2022 Tutorial: K-nearest-neighbor Machine Translation 1318 -- 13:55 App LREC2022:A Dataset and Benchmark for Fine-Grained Domain Adaptation in MT 1769 2 1:16:13 App 机器翻译研究报告-基于隐变量模型的自然语言生成-黄书剑-20200612 459 -- 10:56 App NLPCC2022:ADS-Cap: A Framework for Acc...
QInzhengk/Math-Model-and-Machine-Learning (github.com) 一、K近邻算法(KNN)(监督学习算法) 1. 什么是KNN 1.1 KNN的通俗解释 何谓K近邻算法,即K-Nearest Neighbor algorithm,简称KNN算法,单从名字来猜想,可以简单粗暴的认为是:K个最近的邻居,当K=1时,算法便成了最近邻算法,即寻找最近的那个邻居。 用官方的...