kmeans-cluster | Python visualization of k-means clustering | Machine Learning library

by Viliami Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | kmeans-cluster Summary

kmeans-cluster is a Python library typically used in Artificial Intelligence, Machine Learning, Hadoop applications. kmeans-cluster has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However kmeans-cluster build file is not available. You can download it from GitHub.

Python visualization of k-means clustering

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Quality

Security

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Support

kmeans-cluster has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 923 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of kmeans-cluster is current.

Quality

kmeans-cluster has 0 bugs and 0 code smells.

Security

kmeans-cluster has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

kmeans-cluster code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

kmeans-cluster is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

kmeans-cluster releases are not available. You will need to build from source code and install.

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

It has 234 lines of code, 33 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Run k - means clustering
Remove a node from the graph
Adds a node to the graph
Calculate the centroid of the graph
Render the grid
Draw a point on the surface
Draw a line on the surface
Render the grid
Draw all clusters
Draws a filled circle
Plot a line between start and end positions
Renders the graph
Plot the plot
Adds points to the plot
Plot a circle
Convert to graph coordinates
Clears the plot
Show the grid
Sets subject value

Get all kandi verified functions for this library.

kmeans-cluster Key Features

No Key Features are available at this moment for kmeans-cluster.

kmeans-cluster Examples and Code Snippets

No Code Snippets are available at this moment for kmeans-cluster.

Community Discussions

Trending Discussions on kmeans-cluster

How to install a Python package on Linux so that it is found by the already working PostgreSQL 13 plpython3u extension?

Labels of clustered data and KMeans cluster centers

plot kmeans clustering on more than 2 dimensional data

Kmeans centers in a group_by and summarize pipe

Dockerized flexdashboard app won't run in localhost

QUESTION

How to install a Python package on Linux so that it is found by the already working PostgreSQL 13 plpython3u extension?

Asked 2021-Sep-05 at 14:44

Spin-off:

I have tried to catch the idea of “Module not found” when importing a Python package within a plpython3u procedure, I did not know how to use the accepted answer there to make it run on Linux. Normally, this here should be a duplicate, but if there is a difference with with MacOS in the used paths, it might be good for a new question.

Installation of PostgreSQL 13

I am on WSL2 (Ubuntu 20.04). I installed with the commands of the official PostgreSQL Downloads page from the PostgreSQL Apt Repository for Ubuntu.

...

ANSWER

Answered 2021-Sep-01 at 18:24

The issue is that this:

python3.8 -m pip install pandas

installs a package(pandas in this case) to the site-packages in the home directory of the user running the command, so:

/home/my_user/.local/lib/python3.8/site-packages

The plpython3u extension running in Postgres is looking for the package in the system wide site-packages. To get the package there you need to do:

sudo python3.8 -m pip install pandas

Source https://stackoverflow.com/questions/69013111

QUESTION

Labels of clustered data and KMeans cluster centers

Asked 2021-Aug-04 at 08:14

Relating to the question Starting question I have doubts regarding calculating coordinates of cluster centres and labeling the centres:

kmeans.cluster_centers_

gives

...

ANSWER

Answered 2021-Aug-04 at 08:14

The orders of clusters is usually arbitrary; there is no significance attached to them. It probably depends on the order in which the data points are processed, but doesn't really make any difference, as they're just labels.

If your data points already have labels, then simply take the n data points closest to the centre of each cluster, and assign it the most frequent label. It is unlikely that you will get a perfect clustering as in the example, as there will commonly be data points assigned to a different cluster, or in-between clusters.

The procedure would basically be:

set up an (empty) list for each cluster.
for each labelled data point, find the closest centre and add the label to its list
for each cluster, count how many times each label occurs in its list and pick the highest value label.

Source https://stackoverflow.com/questions/68643844

QUESTION

plot kmeans clustering on more than 2 dimensional data

Asked 2021-May-13 at 11:26

I have a dataset with 6 columns and after using KMEANs I need to visualize the plot after clustering. I have six clusters. how can I do it? this my Kmeans clustering code:

...

ANSWER

Answered 2021-May-12 at 18:20

scaled_features is a numpy array, you cannot index an array with a string. You need to convert it first to a dataframe with this:

Source https://stackoverflow.com/questions/67502519

QUESTION

Kmeans centers in a group_by and summarize pipe

Asked 2021-Mar-04 at 19:33

Trying to find the coordinates of K-means cluster centers on groups in a large data frame. One option is to brute-force loop through. But it'd be nice to figure out some tidy way of making it work. This previous Q&A wasn't clear. Any ideas? Here are some things I've tried, and a MCVE I made via reprex. Many thanks,

...

ANSWER

Answered 2021-Mar-04 at 19:33

Here is a slight modification of your Idea 1, with the help from the purrr package. The results are in the Center column as a list.

Source https://stackoverflow.com/questions/66479109

QUESTION

Dockerized flexdashboard app won't run in localhost

Asked 2020-Mar-18 at 13:27

I am attempting to create a Dockerized Flexdashboard app. I am able to run it locally, but not in the localhost. I can, however, run shiny apps just fine within the same docker image. Interestingly, the error message in the localhost says 'Not Found' for the Flexdashboard app which is different than when a page doesn't exist at all ('Page Not Found').

How can I Dockerize a Flexdashboard app?

MWE ...

ANSWER

Answered 2020-Mar-18 at 13:27

This is likely a result of a bug in the rmarkdown package being used in your image (rmoarkdown v. 1.18) and is related to this: https://github.com/rstudio/rmarkdown/issues/1731 and https://github.com/rstudio/rmarkdown/issues/1714. I'm guessing http://localhost:3838/kmeansflex/kmeans2.Rmd does indeed work.

Here's how you could test this. Make a shiny app in the apps folder to see what version of rmarkdown is being run. Make a folder in apps called 'rmarkdown'. Then put the following simple ui.R and server.R scripts in there to build a shiny app (we know shiny apps render for you) to determine what version of rmarkdown you have:

The ui.R script

Source https://stackoverflow.com/questions/60656707

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

Vulnerabilities

No vulnerabilities reported

Install kmeans-cluster

You can download it from GitHub.
You can use kmeans-cluster 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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