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Semblance  

A Data-Driven Similarity Kernel on Probability Spaces
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Semblance", "1.1.0")



Attach the package and use:
library("Semblance")
Maintained by
Divyansh Agarwal
[Scholar Profile | Author Map]
First Published: 2018-05-30
Latest Update: 2019-01-25
Description:
We present a rank-based Mercer kernel to compute a pair-wise similarity metric corresponding to informative representation of data. We tailor the development of a kernel to encode our prior knowledge about the data distribution over a probability space. The philosophical concept behind our construction is that objects whose feature values fall on the extreme of that feature
How to cite:
Divyansh Agarwal (2018). Semblance: A Data-Driven Similarity Kernel on Probability Spaces. R package version 1.1.0, https://cran.r-project.org/web/packages/Semblance. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2018-05-30 14:35)
Other packages that cited Semblance R package
View Semblance citation profile
Other R packages that Semblance depends, imports, suggests or enhances
Complete documentation for Semblance
Functions, R codes and Examples using the Semblance R package
Some associated functions: computeSemblanceOneFeature . computeSemblanceOneFeature_Gini . makeUpperLower . ranksem . ranksem_Gini . repCol . repRow . 
Some associated R codes: semblance.R .  Full Semblance package functions and examples
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