This software summarizes a hierarchical clustering package for Scipy in just 50 words. The tool makes use of the Scipy library to implement hierarchical clustering, a technique employed in machine learning and data analysis to form classification criteria for datasets.
If you're looking for a powerful library that provides Python functions for hierarchical clustering, you should definitely try hcluster. This library offers an interface that's quite similar to MATLAB's Statistics Toolbox API, which makes code porting significantly easier from MATLAB to Python/Numpy.
One of the best things about hcluster is its incredibly efficient core implementation, which is in C. This makes the library a great choice for those who want to process complex data sets with minimal lag time.
Overall, if you need a great hierarchical clustering library that offers a lot of flexibility and ease of use, hcluster is definitely worth checking out. Whether you're an experienced developer or just starting out with Python, this library is sure to deliver the functionality and performance you need to get the job done right.
One of the best things about hcluster is its incredibly efficient core implementation, which is in C. This makes the library a great choice for those who want to process complex data sets with minimal lag time.
Overall, if you need a great hierarchical clustering library that offers a lot of flexibility and ease of use, hcluster is definitely worth checking out. Whether you're an experienced developer or just starting out with Python, this library is sure to deliver the functionality and performance you need to get the job done right.
What's New
Version 0.2.0: N/A