R Package Scholar
32,301

kknn: Weighted k-Nearest Neighbors

Klaus Schliep  Klaus Hechenbichler  Antoine Lizee   View description and downloadsView dependenciesGitHub project

2004 Published
39 Citations
3 Authors
16 Revisions
1.3.1 Version
GPL-2 License
Referenced by ⇅ Year
viruslearner: Ensemble Learning for HIV-Related Metrics (Version 0.0.2)

2024
fastml: Fast Machine Learning Model Training and Evaluation (Version 0.4.0)

2024
orbital: Predict with 'tidymodels' Workflows in Databases (Version 0.3.0)

2024
qvirus: Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy (Version 0.0.3)

2024
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)

2023
jrSiCKLSNMF: Multimodal Single-Cell Omics Dimensionality Reduction (Version 1.2.2)

2023
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)

2023
rgnoisefilt: Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.2)

2023
tidyAML: Automatic Machine Learning with 'tidymodels' (Version 0.0.5)

2023
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
OptiSembleForecasting: Optimization Based Ensemble Forecasting Using MCS Algorithm (Version 0.1.0)

2022
mlr3tuningspaces: Search Spaces for 'mlr3' (Version 0.5.2)

2021
GenericML: Generic Machine Learning Inference (Version 0.2.2)

2021
aRtsy: Generative Art with 'ggplot2' (Version 1.0.0)

2021
healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR' (Version 0.1.0)

2021
sense: Automatic Stacked Ensemble for Regression Tasks (Version 1.1.0)

2021
workflowsets: Create a Collection of 'tidymodels' Workflows (Version 1.1.0)

2021
SSLR: Semi-Supervised Classification, Regression and Clustering Methods (Version 0.9.3.3)

2020
finetune: Additional Functions for Model Tuning (Version 1.2.0)

2020
stacks: Tidy Model Stacking (Version 1.0.5)

2020
tune: Tidy Tuning Tools (Version 1.2.1)

2020
mlr3learners: Recommended Learners for 'mlr3' (Version 0.9.0)

2019
mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3' (Version 0.7.1)

2019
butcher: Model Butcher (Version 0.3.4)

2019
traineR: Predictive (Classification and Regression) Models Homologator (Version 2.2.0)

2019
MachineShop: Machine Learning Models and Tools (Version 3.8.0)

2018
parsnip: A Common API to Modeling and Analysis Functions (Version 1.3.0)

2018
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)

2017
mbclusterwise: Clusterwise Multiblock Analyses (Version 1.0)

2016
utiml: Utilities for Multi-Label Learning (Version 0.1.7)

2016
MM2S: Single-Sample Classifier of Medulloblastoma Subtypes for Medulloblastoma Patient Samples, Mouse Models, and Cell Lines (Version 1.0.6)

2015
EnsembleBase: Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling (Version 1.0.4)

2014
swfscMisc: Miscellaneous Functions for Southwest Fisheries Science Center (Version 1.6.5)

2014
mlr: Machine Learning in R (Version 2.19.2)

2013
RSDA: R to Symbolic Data Analysis (Version 3.2.1)

2013
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)

2013
rminer: Data Mining Classification and Regression Methods (Version 1.4.8)

2011

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