neighbr: Classification, Regression, Clustering with K Nearest Neighbors
Classification, regression, and clustering with k nearest neighbors
algorithm. Implements several distance and similarity measures, covering
continuous and logical features. Outputs ranked neighbors. Most features of
this package are directly based on the PMML specification for KNN.
| Version: |
1.0.3 |
| Depends: |
R (≥ 3.3.0) |
| Suggests: |
testthat, knitr, rmarkdown, mlbench |
| Published: |
2020-03-19 |
| Author: |
Dmitriy Bolotov [aut, cre],
Software AG [cph] |
| Maintainer: |
Dmitriy Bolotov <dmitriy.bolotov at softwareag.com> |
| License: |
GPL (≥ 2.1) |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
neighbr results |
Downloads:
Reverse dependencies:
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