Package: lsdbc 0.1.0

lsdbc: Locally Scaled Density Based Clustering

Implementation of Locally Scaled Density Based Clustering (LSDBC) algorithm proposed by Bicici and Yuret (2007) <doi:10.1007/978-3-540-71618-1_82>. This package also contains some supporting functions such as betaCV() function and get_spectral() function.

Authors:Fella Ulandari and Robert Kurniawan

lsdbc_0.1.0.tar.gz
lsdbc_0.1.0.zip(r-4.5)lsdbc_0.1.0.zip(r-4.4)lsdbc_0.1.0.zip(r-4.3)
lsdbc_0.1.0.tgz(r-4.5-any)lsdbc_0.1.0.tgz(r-4.4-any)lsdbc_0.1.0.tgz(r-4.3-any)
lsdbc_0.1.0.tar.gz(r-4.5-noble)lsdbc_0.1.0.tar.gz(r-4.4-noble)
lsdbc_0.1.0.tgz(r-4.4-emscripten)lsdbc_0.1.0.tgz(r-4.3-emscripten)
lsdbc.pdf |lsdbc.html✨
lsdbc/json (API)

# Install 'lsdbc' in R:

install.packages('lsdbc', repos = c('https://ulandarisyamsudin.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 131 downloads 3 exports 0 dependencies

Last updated 5 years agofrom:34518beb7b. Checks:8 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 12 2025
R-4.5-win	OK	Feb 12 2025
R-4.5-mac	OK	Feb 12 2025
R-4.5-linux	OK	Feb 12 2025
R-4.4-win	OK	Feb 12 2025
R-4.4-mac	OK	Feb 12 2025
R-4.3-win	OK	Feb 12 2025
R-4.3-mac	OK	Feb 12 2025