套件:r-cran-uwot(0.1.10-1)
GNU R uniform manifold approximation and projection (UMAP)
An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <arXiv:1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <arXiv:1602.00370> is also provided.
This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
其他與 r-cran-uwot 有關的套件
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- dep: libc6 (>= 2.29)
- GNU C 函式庫:共用函式庫
同時作為一個虛擬套件由這些套件填實: libc6-udeb
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- dep: libgcc-s1 (>= 3.5)
- GCC 支援函式庫
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- dep: libstdc++6 (>= 6)
- GNU Standard C++ Library v3
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實: r-base-core
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- dep: r-base-core (>= 4.0.3-1)
- GNU R core of statistical computation and graphics system
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- dep: r-cran-dqrng
- GNU R fast pseudo random number generators
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- dep: r-cran-fnn
- GNU R fast nearest neighbor search algorithms and applications
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- dep: r-cran-irlba
- GNU R fast truncated SVD, PCA and symmetric eigendecomposition
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- dep: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
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- dep: r-cran-rcpp
- GNU R package for Seamless R and C++ Integration
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- dep: r-cran-rcppannoy (>= 0.0.17)
- Rcpp bindings for Annoy (approximate nearest neighbors)
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- dep: r-cran-rcppprogress
- interruptible progress bar for C++ in GNU R packages
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- dep: r-cran-rspectra
- GNU R solvers for large-scale eigenvalue and SVD problems
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- rec: r-cran-testthat
- GNU R testsuite
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- sug: r-cran-covr
- test coverage for GNU R packages