I am currently exploring cluster analysis using Python, and I have been using the
clustermap function from the
seaborn library to create dendrograms and heatmaps of my data. While this has been helpful, I am interested in learning more about alternative ways to perform cluster analysis and visualize my results.
Here’s an example of how I have been using
clustermap to create a dendrogram and heatmap:
This code creates a clustermap of the correlation between the features in the Iris dataset.
I am wondering if there are any other functions or libraries that I can use to perform cluster analysis and visualize my results in different ways. Additionally, if anyone has any suggestions or advice for improving my current code or making it more efficient, I would greatly appreciate it!