TDAmapper | R package ) Analyze High | Data Manipulation library

by paultpearson HTML Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | TDAmapper Summary

TDAmapper is a HTML library typically used in Utilities, Data Manipulation, Numpy applications. TDAmapper has no bugs, it has no vulnerabilities and it has low support. However TDAmapper has a Non-SPDX License. You can download it from GitHub.

An R package for using discrete Morse theory to analyze a data set using the Mapper algorithm described in:. G. Singh, F. Memoli, G. Carlsson (2007). Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition, Point Based Graphics 2007, Prague, September 2007.

Support

Quality

Security

License

Reuse

Support

TDAmapper has a low active ecosystem.

It has 54 star(s) with 26 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 6 have been closed. On average issues are closed in 39 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of TDAmapper is current.

Quality

TDAmapper has no bugs reported.

Security

TDAmapper has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

TDAmapper has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

TDAmapper releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of TDAmapper

Get all kandi verified functions for this library.

TDAmapper Key Features

No Key Features are available at this moment for TDAmapper.

TDAmapper Examples and Code Snippets

No Code Snippets are available at this moment for TDAmapper.

Community Discussions

Trending Discussions on TDAmapper

Error in yaml.load(): argument "error.label" is missing, with no default

Filter function for High Dimensional Data in TDAmapper in R

QUESTION

Error in yaml.load(): argument "error.label" is missing, with no default

Asked 2018-Mar-26 at 16:13

I'm currently trying to run the MAPPER algorithm on R, and work through some basic examples found on the website here:

http://bertrand.michel.perso.math.cnrs.fr/Enseignements/TDA/Mapper.html

The code I'm using is as follows:

...

ANSWER

Answered 2018-Mar-21 at 18:05

The mapper, mapperVertices, and mapperEdges functions are only available currently in the development version of TDAmapper. You can install it using (devtools package must be installed)...

Source https://stackoverflow.com/questions/49383689

QUESTION

Filter function for High Dimensional Data in TDAmapper in R

Asked 2018-Jan-25 at 13:15

I would like to use R TDAmapper package to represent my dataset with 76 rows and 316 columns. I'm following this code: http://bertrand.michel.perso.math.cnrs.fr/Enseign but the filter function used, Kernel function kde, is not good for my case because I have a dataset with more then 6 dimensions.

Is there an other Kernel function using like a filter function in TDAmapper for high dimensional dataset? Or Anyone could sugguest me an other filter function?

Thanks in advance

...

ANSWER

Answered 2018-Jan-25 at 13:15

Apply PCA to data, Project your data on Principle components. Say along first PC or etc as a filter

Source https://stackoverflow.com/questions/48297721

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install TDAmapper

To install the stable version of this R package from CRAN:.
Windows: Rtools (http://cran.r-project.org/bin/windows/Rtools/)
OS X: xcode (from the app store)
Linux: apt-get install r-base-dev (or similar).

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: