This python package implements k-medoids clustering with PAM and variants of clustering by direct optimization of the (Medoid) Silhouette. It can be used with arbitrary dissimilarites, as it requires ...

This library is maintained for backward compatibility only. PyEMD v2.0+ is a thin wrapper around POT (Python Optimal Transport). For new projects, use POT directly—it offers the same functionality ...

Modern biological studies are characterized by the involvement of various ‘omic’ data types that describe the totality of biological entities, such as genomics, transcriptomics, proteomics, ...

The German historian Oswald Spengler considered our age the age of abstraction. Nowhere is this more apparent than in programming, where abstraction isn’t just a conceptual convenience but an absolute ...

Document similarity is a crucial concept in natural language processing (NLP) that measures how closely two or more documents are related in terms of their content. It is widely used in applications ...

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...

Denis works as a software developer who enjoys writing guides to help other developers. He has a bachelor's in computer science. He loves hiking and exploring the world. You might want to digitize a ...

Topic clusters and recommender systems can help SEO experts to build a scalable internal linking architecture. And as we know, internal linking can impact both user experience and search rankings.

Conventional spectroscopic ellipsometry is a powerful tool in optical metrology. However, when it comes to the characterization of non-periodic nanostructures or structured fields that are much ...

Solving the sliding puzzle using a basic AI algorithm. I had published this article on Medium in September of 2018. I have decided to create more content on my LinkedIn profile, thus rewriting this ...