2. 机器学习 (豆瓣) 3. 9.4 - Nearest-Neighbor Methods 4. Best way to learn kNN Algorithm using R Programming 5. KNN example in R - Ranjit Mishra 6. 一只兔子帮你理解 kNN分类算法之knn 7. Refining a k-Nearest-Neighbor classification 8. k-Nearest Neighbour Classification ...
Data mining focuses on generating a useful knowledge from the data sources rather than a mere data extracting technology. Among various forms of data mining tasks, data classification is a major task for a user who wants to classify a record at hand based on the database available in the ...
邻近算法 这里写目录标题 邻近算法 一、算法概述 二、算法要点 三、优缺点 四、常见问题 一、算法概述 1、kNN算法又称为k近邻分类(k-nearest neighbor classification)算法。 最简单平凡的分类器也许是那种死记硬背式的分类器,记住所有的训练数据,对于新的数据则直接和训练数据匹配,如果存在相同属性的训练数据,则直...
Firdous A, Husnain M, Missen MMS. Event classification from the Urdu language text on social medi...
[1] Adeniyi DA, Wei Z, Yongquan Y. Automated web usage data mining and recommendation system using K-Nearest Neighbor (KNN) classification method [Internet]. Vol. 12, Applied Computing and Informatics. 2016. p. 90–108. Available from: http://dx.doi.org/10.1016/j.aci.2014.10.001 [2...
Data mining classification techniques are affected by the presence of imbalances between classes of a response variable. The difficulty in handling the imbalanced data issue has led to an influx of methods, either resolving the imbalance issue at data or algorithmic level. The R programming language...
Unfortunately, most privacy﹑reserving data mining schemes are not lightweight, which are not practical in real﹚orld applications. To solve this issue, we proposed a lightweight edge‐based kNN (EBkNN) classification scheme over encrypted cloud database utilizing edge computing technology. Our ...
theclassificationaccuracy.Experimentalresultsshowthatonalargesamplesize,thealgorithmcanachievebetterclassifica— tioneffectswheninvolvingmorelargeneighborfieldstoclassifydatasamples. Keywords:bigdate;KNN;multi—difierential 随着信息技术的快速发展,大数据时代已经到来,人们迫 ...
category-knowndata,thenthismodel iSusedtoclassifytheunknown typeofdata. Atfirst,thisi)aper studieddataclassificationwhich’iSone technology ofData Mining.Afterdetailedanalysesonthe presentcommon classificationalgorithms,as wellastheiradvantagesand disadvantages intimingandaccuracy,thispaperparticularlyanalyzes KNNcl...
The problem of classification is a major sub ject of research in data mining technology. There are many met hods for Data classification, and the K-nearest neighbor, s classification (KNN) algorithm is one of the much more popular Data mining algorithm. The paper progressively elaborates cind ...