wsrf

Weighted Subspace Random Forest for Classification

CRAN Package

A parallel implementation of Weighted Subspace Random Forest. The Weighted Subspace Random Forest algorithm was proposed in the International Journal of Data Warehousing and Mining by Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye (2012) doi:10.4018/jdwm.2012040103. The algorithm can classify very high-dimensional data with random forests built using small subspaces. A novel variable weighting method is used for variable subspace selection in place of the traditional random variable sampling.This new approach is particularly useful in building models from high-dimensional data.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 623 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.

Sun
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0 downloadsMar 2, 2025
19 downloadsMar 3, 2025
23 downloadsMar 4, 2025
66 downloadsMar 5, 2025
23 downloadsMar 6, 2025
25 downloadsMar 7, 2025
16 downloadsMar 8, 2025
23 downloadsMar 9, 2025
18 downloadsMar 10, 2025
15 downloadsMar 11, 2025
22 downloadsMar 12, 2025
30 downloadsMar 13, 2025
24 downloadsMar 14, 2025
57 downloadsMar 15, 2025
19 downloadsMar 16, 2025
17 downloadsMar 17, 2025
24 downloadsMar 18, 2025
19 downloadsMar 19, 2025
20 downloadsMar 20, 2025
14 downloadsMar 21, 2025
11 downloadsMar 22, 2025
8 downloadsMar 23, 2025
13 downloadsMar 24, 2025
7 downloadsMar 25, 2025
12 downloadsMar 26, 2025
12 downloadsMar 27, 2025
46 downloadsMar 28, 2025
7 downloadsMar 29, 2025
13 downloadsMar 30, 2025
10 downloadsMar 31, 2025
10 downloadsApr 1, 2025
0 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
7
66

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 5,020 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Oct 09, 2024 with 69 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Depends1 package
  • Suggests4 packages
  • Linking To1 package