GithubHelp home page GithubHelp logo

mthrun / fcps Goto Github PK

View Code? Open in Web Editor NEW
19.0 5.0 2.0 5.95 MB

The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.

Home Page: https://mthrun.github.io/rpackages

R 6.91% HTML 93.09%
clustering-algorithms cluster-tendency cluster-analysis cluster-challenge r-package data-mining unsupervised-machine-learning

fcps's People

Contributors

mthrun avatar quirinms avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar

fcps's Issues

Missing function

`

install.packages("FCPS")
Installing package into ‘/home/roc/R/x86_64-pc-linux-gnu-library/4.0’
(as ‘lib’ is unspecified)
trying URL 'https://cloud.r-project.org/src/contrib/FCPS_1.2.7.tar.gz'
Content type 'application/x-gzip' length 2859121 bytes (2.7 MB)
==================================================
downloaded 2.7 MB

  • installing source package ‘FCPS’ ...
    ** package ‘FCPS’ successfully unpacked and MD5 sums checked
    ** using staged installation
    ** R
    ** data
    *** moving datasets to lazyload DB
    ** inst
    ** byte-compile and prepare package for lazy loading
    ** help
    *** installing help indices
    ** building package indices
    ** installing vignettes
    ** testing if installed package can be loaded from temporary location
    ** testing if installed package can be loaded from final location
    ** testing if installed package keeps a record of temporary installation path
  • DONE (FCPS)

The downloaded source packages are in
‘/tmp/Rtmpzb0Mdh/downloaded_packages’

data('Hepta')

out=HierarchicalClusterDists(as.matrix(dist(Hepta$Data)),ClusterNo=7)
Error in HierarchicalClusterDists(as.matrix(dist(Hepta$Data)), ClusterNo = 7) :
could not find function "HierarchicalClusterDists"
`

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.