ProjectionBasedClustering
Projection Based Clustering
A clustering approach applicable to every projection method is proposed here. The two-dimensional scatter plot of any projection method can construct a topographic map which displays unapparent data structures by using distance and density information of the data. The generalized U*-matrix renders this visualization in the form of a topographic map, which can be used to automatically define the clusters of high-dimensional data. The whole system is based on Thrun and Ultsch, "Using Projection based Clustering to Find Distance and Density based Clusters in High-Dimensional Data"
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- ProjectionBasedClustering.pdf
- Version1.2.1
- R version≥ 3.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/11/2023
Documentation
Team
Michael Thrun
Quirin Stier
Brinkmann Luca
Show author detailsRolesContributorFlorian Lerch
Show author detailsRolesAuthorFelix Pape
Show author detailsRolesAuthorTim Schreier
Show author detailsRolesAuthorLuis Winckelmann
Show author detailsRolesAuthorKristian Nybo
Show author detailsRolesCopyright holderJarkko Venna
Show author detailsRolesCopyright holderUlyanov Dimitry
Show author detailsRolesCopyright holdervan der Maaten Laurens
Show author detailsRolesCopyright holder
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- Depends1 package
- Imports13 packages
- Suggests21 packages
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