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KODAMA  

Knowledge Discovery by Accuracy Maximization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("KODAMA", "2.4.1")



Attach the package and use:
library("KODAMA")
Maintained by
Stefano Cacciatore
[Scholar Profile | Author Map]
First Published: 2014-11-25
Latest Update: 2023-01-12
Description:
An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data. It facilitates identification of patterns representing underlying groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA .
How to cite:
Stefano Cacciatore (2014). KODAMA: Knowledge Discovery by Accuracy Maximization. R package version 2.4.1, https://cran.r-project.org/web/packages/KODAMA. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.0.1 (2014-11-25 18:05), 1.0 (2016-10-12 23:53), 1.1 (2016-10-20 00:28), 1.2 (2016-12-13 07:56), 1.3 (2016-12-27 15:28), 1.4 (2017-01-17 00:15), 1.5 (2018-10-18 17:20), 1.6 (2021-04-19 00:00), 1.7 (2021-09-27 10:20), 1.8 (2021-10-26 01:10), 1.9 (2022-04-01 14:10), 2.0 (2022-07-04 13:40), 2.1 (2022-08-20 23:50), 2.2 (2022-09-01 11:10), 2.3 (2022-12-09 12:42), 2.4 (2023-01-12 12:20)
Other packages that cited KODAMA R package
View KODAMA citation profile
Other R packages that KODAMA depends, imports, suggests or enhances
Complete documentation for KODAMA
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