套件：r-cran-dbscan（1.2-0+ds-1） [debports]
Density Based Clustering of Applications with Noise (DBSCAN)
Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms provides a fast reimplementation of several density- based algorithms of the DBSCAN family for spatial data. Includes the clustering algorithms DBSCAN (density-based spatial clustering of applications with noise) and HDBSCAN (hierarchical DBSCAN), the ordering algorithm OPTICS (ordering points to identify the clustering structure), and the outlier detection algorithm LOF (local outlier factor). The implementations use the kd-tree data structure (from library ANN) for faster k-nearest neighbor search. An R interface to fast kNN and fixed-radius NN search is also provided. Hahsler, Piekenbrock and Doran (2019) <doi:10.18637/jss.v091.i01>.
其他與 r-cran-dbscan 有關的套件
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- dep: libc6 (>= 2.39)
- 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 (>= 3.4)
- GCC 支援函式庫
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- dep: libstdc++6 (>= 14)
- 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-cran-generics
- GNU R common S3 generics not provided by base R methods
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- dep: r-cran-rcpp (>= 1.0.0)
- GNU R package for Seamless R and C++ Integration
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- rec: r-cran-dendextend
- Extending 'dendrogram' Functionality in GNU R
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- rec: r-cran-fpc
- GNU R flexible procedures for clustering
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- rec: r-cran-igraph
- GNU R network analysis and visualization
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- rec: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- rec: r-cran-microbenchmark
- GNU R package for Accurate Timeing Functions
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- rec: r-cran-rlang
- Functions for Base Types and Core R and 'Tidyverse' Features
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- rec: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- rec: r-cran-testthat (>= 3.0.0)
- GNU R testsuite
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- rec: r-cran-tibble
- GNU R Simple Data Frames