パッケージ: libghc-hierarchical-clustering-dev (0.4.7-1 など)
libghc-hierarchical-clustering-dev に関するリンク
Debian の資源:
haskell-hierarchical-clustering ソースパッケージをダウンロード:
- [haskell-hierarchical-clustering_0.4.7-1.dsc]
- [haskell-hierarchical-clustering_0.4.7.orig.tar.gz]
- [haskell-hierarchical-clustering_0.4.7-1.debian.tar.xz]
メンテナ:
外部の資源:
- ホームページ [hackage.haskell.org]
類似のパッケージ:
fast algorithms for single, average/UPGMA and complete linkage clustering
This package provides a function to create a dendrogram from a list of items and a distance function between them. Initially a singleton cluster is created for each item, and then new, bigger clusters are created by merging the two clusters with least distance between them. The distance between two clusters is calculated according to the linkage type. The dendrogram represents not only the clusters but also the order on which they were created.
This package has many implementations with different performance characteristics. There are SLINK and CLINK algorithm implementations that are optimal in both space and time. There are also naive implementations using a distance matrix. Using the dendrogram function from Data.Clustering.Hierarchical automatically chooses the best implementation we have.
This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell.
その他の libghc-hierarchical-clustering-dev 関連パッケージ
|
|
|
|
-
- dep: libc6 (>= 2.2.5)
- GNU C ライブラリ: 共有ライブラリ
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
-
- dep: libghc-array-dev-0.5.4.0-ddbb2
- 以下のパッケージによって提供される仮想パッケージです: ghc
-
- dep: libghc-base-dev-4.13.0.0-2f220
- 以下のパッケージによって提供される仮想パッケージです: ghc
-
- dep: libghc-containers-dev-0.6.2.1-ab1cf
- 以下のパッケージによって提供される仮想パッケージです: ghc
-
- dep: libgmp10
- 多倍長精度演算ライブラリ
-
- sug: libghc-hierarchical-clustering-doc
- fast algorithms for single, average/UPGMA and complete linkage clustering; documentation
-
- sug: libghc-hierarchical-clustering-prof
- fast algorithms for single, average/UPGMA and complete linkage clustering; profiling libraries