This thread is about the k-means clustering add-in.
k-means clustering is an unsupervised machine learning algorithm that allows for the classification of each observation (across at least 1 series) into 1 of k classes. The algorithm is useful in exploratory data analysis for classifying similarity in observations across a workfile for either cross section or time series data.
The add-in can be downloaded via the EViews Add-in manager or directly from Github at:
https://github.com/ErhardMenker/kMeans4 ... means.aipz
Please refer to the documentation for an overview of the add-in's functionality. Documentation comes with the add-in's install or is available online at:
https://github.com/ErhardMenker/kMeans4 ... kmeans.pdf
Please feel free to post here with any questions or suggestions for improvement. I will also post updates to the add-in in this thread.
For questions about EViews Add-ins available from the EViews Add-ins webpage. Note each add-in available on our webpage will have its own individual thread.
1 post • Page 1 of 1
Who is online
Users browsing this forum: No registered users and 11 guests