kknn: Weighted k-Nearest Neighbors

Canonical link: https://rscholar.com/pkg/kknn

Klaus Schliep • Klaus Hechenbichler • Antoine Lizee • View description and downloads View dependencies GitHub project

2004 Published

1.3.1 Version

0 Citations

3 Authors

Referenced by ⇅	Year
mbclusterwise: Clusterwise Multiblock Analyses (Version 1.0)	2016
MM2S: Single-Sample Classifier of Medulloblastoma Subtypes for Medulloblastoma Patient Samples, Mouse Models, and Cell Lines (Version 1.0.6)	2015
viruslearner: Ensemble Learning for HIV-Related Metrics (Version 0.0.2)	2024
OptiSembleForecasting: Optimization Based Ensemble Forecasting Using MCS Algorithm (Version 0.1.0)	2022
EnsembleBase: Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling (Version 1.0.2)	2015
GenericML: Generic Machine Learning Inference (Version 0.2.2)	2021
MachineShop: Machine Learning Models and Tools (Version 3.8.0)	2018
RSDA: R to Symbolic Data Analysis (Version 3.2.1)	2013
SSLR: Semi-Supervised Classification, Regression and Clustering Methods (Version 0.9.3.3)	2020
aRtsy: Generative Art with 'ggplot2' (Version 0.2.4)	2021
butcher: Model Butcher (Version 0.3.4)	2019
finetune: Additional Functions for Model Tuning (Version 1.2.0)	2020
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)	2023
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)	2013
healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR' (Version 0.1.0)	2021
jrSiCKLSNMF: Multimodal Single-Cell Omics Dimensionality Reduction (Version 1.2.1)	2023
mlr: Machine Learning in R (Version 2.19.2)	2013
mlr3learners: Recommended Learners for 'mlr3' (Version 0.8.0)	2019
mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3' (Version 0.7.0)	2019
mlr3tuningspaces: Search Spaces for 'mlr3' (Version 0.5.1)	2021
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)	2017
orbital: Predict with 'tidymodels' Workflows in Databases (Version 0.2.0)	2024
parsnip: A Common API to Modeling and Analysis Functions (Version 1.2.1)	2018
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)	2023
qvirus: Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy (Version 0.0.3)	2024
rgnoisefilt: Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.2)	2023
rminer: Data Mining Classification and Regression Methods (Version 1.4.7)	2011
sense: Automatic Stacked Ensemble for Regression Tasks (Version 1.1.0)	2021
stacks: Tidy Model Stacking (Version 1.0.5)	2020
swfscMisc: Miscellaneous Functions for Southwest Fisheries Science Center (Version 1.6.5)	2014
tidyAML: Automatic Machine Learning with 'tidymodels' (Version 0.0.5)	2023
traineR: Predictive (Classification and Regression) Models Homologator (Version 2.2.0)	2019
tune: Tidy Tuning Tools (Version 1.2.1)	2020
utiml: Utilities for Multi-Label Learning (Version 0.1.7)	2016
viraldomain: Applicability Domain Methods of Viral Load and CD4 Lymphocytes (Version 0.0.6)	2023
viralx: Explainers for Regression Models in HIV Research (Version 1.3.0)	2023
viralmodels: Viral Load and CD4 Lymphocytes Regression Models (Version 1.3.1)	2023
workflowsets: Create a Collection of 'tidymodels' Workflows (Version 1.1.0)	2021

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.