sammon | Sammon mapping in Python | Data Visualization library

by tompollard Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | sammon Summary

sammon is a Python library typically used in Analytics, Data Visualization applications. sammon has no bugs, it has no vulnerabilities and it has low support. However sammon build file is not available. You can download it from GitHub.

Run sammontest.py() with no arguments to test sammon.py on Fisher’s iris dataset. You should get an output image as the one shown below:.

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Quality

Security

License

Reuse

Support

sammon has a low active ecosystem.

It has 20 star(s) with 13 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 4 have been closed. On average issues are closed in 432 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sammon is current.

Quality

sammon has 0 bugs and 4 code smells.

Security

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

sammon code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sammon does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

sammon has no build file. You will be need to create the build yourself to build the component from source.

sammon saves you 69 person hours of effort in developing the same functionality from scratch.

It has 180 lines of code, 3 functions and 3 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed sammon and discovered the below as its top functions. This is intended to give you an instant insight into sammon implemented functionality, and help decide if they suit your requirements.

Calculate the dissimilarity decomposition
Compute the center of a matrix

Get all kandi verified functions for this library.

sammon Key Features

No Key Features are available at this moment for sammon.

sammon Examples and Code Snippets

No Code Snippets are available at this moment for sammon.

Community Discussions

Trending Discussions on sammon

Confused about MATLAB visualization

QUESTION

Confused about MATLAB visualization

Asked 2017-Oct-04 at 09:01

I have a 24 dimensional dataset of 100,000 data points which are mapped onto 2d plane using sammon mapping (a method ro reduce dimensionality and visualize). The scatter plot is shown below! Doesn't look too interesting..

But when i tilted my screen an looked at the figure, a square array of points appeared. I am not a matlab user and i am confused whether there is some meaning to this for example are the points forming a clusters etc ? or is this just some sorcery.

...

ANSWER

Answered 2017-Oct-04 at 09:01

Please use the scatter command and change the scatter properties.

Source https://stackoverflow.com/questions/46559713

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

Vulnerabilities

No vulnerabilities reported

Install sammon

You can download it from GitHub.
You can use sammon like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

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