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https://www.r-bloggers.com/machine-learning-using-support-vector-machines/
Apr 19, 2017 · Support Vector Machines (SVM) is a data classification method that separates data using hyperplanes. The concept of SVM is very intuitive and easily understandable. If we have labeled data, SVM can be used to generate multiple separating hyperplanes such that the data space is divided into segments and each segment contains only one kind of data.
https://cran.r-project.org/web/packages/e1071/vignettes/svmdoc.pdf
Support Vector Machines * The Interface to libsvm in package e1071 by David Meyer FH Technikum Wien, Austria [email protected] November 25, 2019 \Hype or Hallelujah?" is the provocative title used byBennett & Campbell (2000) in an overview of Support Vector Machines (SVM). SVMs are currently a hot topic in the machine learning community, creating a similar enthusiasm at
https://www.listendata.com/2017/01/support-vector-machine-in-r-tutorial.html
Support Vector Machine Simplified using R This tutorial describes theory and practical application of Support Vector Machines (SVM) with R code. It's a popular supervised learning algorithm (i.e. classify or predict target variable). It works both for classification and regression problems.
https://www.edureka.co/blog/support-vector-machine-in-r/
– Support Vector Machine In R The hyperplane is drawn based on these support vectors and an optimum hyperplane will have a maximum distance from each of the support vectors. And this distance between the hyperplane and the support vectors is known as the margin.Author: Zulaikha Lateef
https://www.geeksforgeeks.org/classifying-data-using-support-vector-machinessvms-in-r/
Classifying data using Support Vector Machines(SVMs) in R In machine learning, Support vector machine(SVM) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. It is mostly used in classification problems.
https://www.rdocumentation.org/packages/e1071/versions/1.7-3/topics/svm
svm is used to train a support vector machine. It can be used to carry out general regression and classification (of nu and epsilon-type), as well as density-estimation. A formula interface is provided. RDocumentation. R Enterprise Training ... R package. Rdocumentation.org. Created by DataCamp.com.
https://dataaspirant.com/2017/01/19/support-vector-machine-classifier-implementation-r-caret-package/
Jan 19, 2017 · These nearest data points are known as Support Vectors. Caret Package Installation. The R programming machine learning caret package( Classification And REgression Training ) holds tons of functions that helps to build predictive models.
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