aclust | streaming , flexible agglomerative clustering | Machine Learning library

 by   brentp Python Version: 0.1.3 License: No License

kandi X-RAY | aclust Summary

kandi X-RAY | aclust Summary

aclust is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy applications. aclust has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install aclust' or download it from GitHub, PyPI.

Agglomerative clustering is a very simple algorithm. The function aclust provided here is an attempt at a simple implementation of a modified version that allows a stream of input so that data is not required to be read into memory all at once. Most clustering algorithms operate on a matrix of correlations which may not be feasible with high-dimensional data.
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            kandi-support Support

              aclust has a low active ecosystem.
              It has 11 star(s) with 4 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              aclust has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of aclust is 0.1.3

            kandi-Quality Quality

              aclust has 0 bugs and 0 code smells.

            kandi-Security Security

              aclust has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              aclust code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              aclust does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              aclust releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 362 lines of code, 30 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed aclust and discovered the below as its top functions. This is intended to give you an instant insight into aclust implemented functionality, and help decide if they suit your requirements.
            • Perform clustering
            • Calculate clusters of objects in a set of objects
            • Returns a linkage function
            Get all kandi verified functions for this library.

            aclust Key Features

            No Key Features are available at this moment for aclust.

            aclust Examples and Code Snippets

            No Code Snippets are available at this moment for aclust.

            Community Discussions

            QUESTION

            find matching combination of values between multiple data frame? r
            Asked 2020-Nov-10 at 13:19

            I am trying to subset matching combination of values from multiple data frames in r.

            my first data set looks like this

            ...

            ANSWER

            Answered 2020-Nov-10 at 13:19

            Let me construct some data to show

            Source https://stackoverflow.com/questions/64769311

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

            Vulnerabilities

            No vulnerabilities reported

            Install aclust

            aclust is available on pypi, as such it can be installed with:.

            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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            Install
          • PyPI

            pip install aclust

          • CLONE
          • HTTPS

            https://github.com/brentp/aclust.git

          • CLI

            gh repo clone brentp/aclust

          • sshUrl

            git@github.com:brentp/aclust.git

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