When engineers set out to build a DIY thermal imaging camera, they usually resort to expensive microbolometer arrays or cheap ...

Abstract: We explore the idea of evidence accumulation (EAC) for combining the results of multiple clusterings. First, a clustering ensemble - a set of object partitions, is produced. Given a data set ...

Freshwater ecosystems worldwide have been suffering from declining oxygen levels—a trend known as deoxygenation—that ...

Abstract: This paper proposes the use of mixed fuzzy clustering (MFC) algorithm to derive Takagi-Sugeno (T-S) fuzzy models (FMs). Mixed fuzzy clustering handles both time invariant and multivariate ...

The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...

In addition to single-nucleotide variations and small insertions-deletions (indels), larger-sized structural variations (for example, insertions, deletions, inversions, segmental duplications and copy ...

A federal lawsuit accuses gas station operators in California of using AI-powered software to illegally collude and raise ...

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

These implementations are for demonstration purposes. They are less efficient than the implementations in the Python standard library.

The purpose of swarm is to provide a novel clustering algorithm that handles massive sets of amplicons. Results of traditional clustering algorithms are strongly input-order dependent, and rely on an ...