CWTS_2020

Sample datasets for Generalized Network-based Dimensionality Reduction and Analysis (GNDA)
CWTS Leiden's 2020 dataset, where the data frame has 1176 observations of 42 variables.

datasets

Non-parametric dimensionality reduction function. Reduction with and without feature selection. Plot functions. Automated feature selections. Kosztyan et. al. (2024) <doi:10.1016/j.eswa.2023.121779>.

Zsolt T. Kosztyan

Generalized Network-Based Dimensionality Reduction and Analysis

Marcell T. Kurbucz

Attila I. Katona

Zahid Khan

CWTS_2020 function

A data frame with 1176 observations of 42 variables.

Format

CWTS Leiden's University Ranking 2020 for all scientific fields, within the period of 2016-2019. 1176 observations (i.e., universities), and 42 variables (i.e., indicators). — CWTS_2020

CWTS Leiden's University Ranking 2020 for all scientific fields, within the period of 2016-2019. 1176 observations (i.e., universities), and 42 variables (i.e., indicators).

CWTS_2020: CWTS Leiden's University Ranking 2020 for all scientific fields, within the period of 2016-2019. 1176 observations (i.e., universities), and 42 variables (i.e., indicators).

Description

Usage

Arguments

Format

Examples