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authorRicardo Wurmus <rekado@elephly.net>2020-08-14 14:45:00 +0200
committerRicardo Wurmus <rekado@elephly.net>2020-08-14 14:51:00 +0200
commitba4e73322eaa09333573c1d45182a54d914477d4 (patch)
tree9c1a72260d9251d123e977b933b195e62227a962
parent35b1ba704aa6f69462e0d34e3e45c034706c35ff (diff)
downloadguix-ba4e73322eaa09333573c1d45182a54d914477d4.tar.gz
gnu: Add r-spectrum.
* gnu/packages/cran.scm (r-spectrum): New variable.
-rw-r--r--gnu/packages/cran.scm33
1 files changed, 33 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index ba15f40680..f382d1f9b2 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -23026,3 +23026,36 @@ see
 @end enumerate
 ")
     (license license:gpl3)))
+
+(define-public r-spectrum
+  (package
+    (name "r-spectrum")
+    (version "1.1")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "Spectrum" version))
+       (sha256
+        (base32
+         "0n38d360azkck6vvhr771zsh0gbvd9qsf9ygg5r18vhz0pb1xcfw"))))
+    (properties `((upstream-name . "Spectrum")))
+    (build-system r-build-system)
+    (propagated-inputs
+     `(("r-clusterr" ,r-clusterr)
+       ("r-diptest" ,r-diptest)
+       ("r-ggplot2" ,r-ggplot2)
+       ("r-rfast" ,r-rfast)))
+    (native-inputs `(("r-knitr" ,r-knitr)))
+    (home-page "https://cran.r-project.org/web/packages/Spectrum/")
+    (synopsis "Fast adaptive spectral clustering for single and multi-view data")
+    (description
+     "This package provides a self-tuning spectral clustering method for
+single or multi-view data.  Spectrum uses a new type of adaptive density aware
+kernel that strengthens connections in the graph based on common nearest
+neighbours.  It uses a tensor product graph data integration and diffusion
+procedure to integrate different data sources and reduce noise.  Spectrum uses
+either the eigengap or multimodality gap heuristics to determine the number of
+clusters.  The method is sufficiently flexible so that a wide range of
+Gaussian and non-Gaussian structures can be clustered with automatic selection
+of K.")
+    (license license:agpl3+)))