1.安装和加载impute.knn包 首先,确保R中已经安装了impute.knn包。如果没有安装,可以通过以下代码进行安装: R install.packages("impute.knn") 安装完成后,可以加载impute.knn包: R library(impute.knn) 2.准备数据 为了演示impute.knn的用法,我们需要一个包含缺失值的数据集。在R中,许多数据包自带了示例数据集...
impute.knn函数基于k-最近邻方法来填补缺失值。k-最近邻方法是一种基于数据相似性的方法,它通过查找与缺失值样本最相似的k个样本,并使用这些最相似的样本的非缺失值进行填补。 使用impute.knn函数填补缺失值 现在,我们将展示如何使用impute.knn函数来填补数据集中的缺失值。以下是填补缺失值的步骤: 1. 导入数据 首...
imputedData= knnimpute(data,k,Name,Value)uses additional options specified by one or more name-value pair arguments. For example,imputedData = knnimpute(data,k,'Distance','mahalanobis')uses the Mahalanobis distance to compute the nearest-neighbor columns. ...
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imputedData= knnimpute(data,k,Name,Value)uses additional options specified by one or more name-value pair arguments. For example,imputedData = knnimpute(data,k,'Distance','mahalanobis')uses the Mahalanobis distance to compute the nearest-neighbor columns. ...
使用KNN算法进行图像分类实验，最后算法评价的准确率（Precision）、召回率（Recall）和F值（F1-score）...
impute_nas_knn: Impute missing values with KNN impute_nas_linapprox: Impute missing values with linear approximation impute_nas_mean: Impute missing values with mean impute_nas_median: Impute missing values with median impute_nas_value: Impute missing values with value replacement indexes_to_xvalue...
Finley. yaImpute: An R package for kNN imputation. Journal of Statistical Software, 23(10):1-16, 10 2007. 6N. L. Crookston and A. O. Finley. yaimpute: An r package for knn imputation. Journal of Statistical Software, 23(10), 10 2007. ISSN 1548-7660. URL http://www.jstatsoft....
We present a modification of the weighted K-nearest neighbours imputation method (KNNimpute) for missing values (MVs) estimation in microarray data based o... LP Brás,JC Menezes - 《Biomolecular Engineering》 被引量: 72发表: 2007年 Robust imputation method for missing values in microarray data...
Missing Value Imputation with kNN for High-Dimensional DataHolger Schwender