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KCSKNNShiny  

K-Nearest Neighbour Classifier
View on CRAN: Click here


Download and install KCSKNNShiny package within the R console
Install from CRAN:
install.packages("KCSKNNShiny")

Install from Github:
library("remotes")
install_github("cran/KCSKNNShiny")

Install by package version:
library("remotes")
install_version("KCSKNNShiny", "0.1.0")



Attach the package and use:
library("KCSKNNShiny")
Maintained by
Karne Chaithanya Sai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-19
Latest Update: 2019-07-19
Description:
It predicts any attribute (categorical) given a set of input numeric predictor values. Note that only numeric input predictors should be given. The k value can be chosen according to accuracies provided. The attribute to be predicted can be selected from the dropdown provided (select categorical attribute). This is because categorical attributes cannot be given as inputs here. A 'handsontable' is also provided to enter the input predictor values.
How to cite:
Karne Chaithanya Sai (2019). KCSKNNShiny: K-Nearest Neighbour Classifier. R package version 0.1.0, https://cran.r-project.org/web/packages/KCSKNNShiny. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for KCSKNNShiny
Functions, R codes and Examples using the KCSKNNShiny R package
Some associated functions: KCSKNNShiny . 
Some associated R codes: hello.R .  Full KCSKNNShiny package functions and examples
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