kknn (1.2-2)
Weighted k-Nearest Neighbors.
http://cran.r-project.org/web/packages/kknn
Weighted k-Nearest Neighbors Classification, Regression and Clustering
Maintainer:
Klaus Schliep
Author(s): Klaus Schliep & Klaus Hechenbichler
License: GPL (>= 2)
Uses: igraph, Matrix
Reverse depends: rminer
Reverse suggests: caret
Released 2 months ago.
8 previous versions
- kknn_1.2-1. Released 7 months ago.
- kknn_1.2-0. Released 8 months ago.
- kknn_1.1-2. Released 11 months ago.
- kknn_1.1-1. Released over 1 year ago.
- kknn_1.0-8. Released almost 3 years ago.
- kknn_1.0-7. Released almost 4 years ago.
- kknn_1.0-6. Released almost 5 years ago.
- kknn_1.0-5. Released over 5 years ago.
Ratings
Overall: |
|
Documentation: |
|
Log in to vote.
Reviews
No one has written a review of kknn yet. Want to be the first? Write one now.
Related packages: FactoMineR, GPArotation, GenKern, Hmisc, ICSNP, ICS, JADE, KernSmooth, LLAhclust, MCMCpack, MFDA, MNP, MSBVAR, Matrix, PTAk, PearsonICA, ROCR, SensoMineR, SparseM, SpatialNP … (20 best matches, based on common tags.)
Search for kknn on google, google scholar, r-help, r-devel.
Visit kknn on R Graphical Manual.
