Until the development of ClustEval, cluster analyses were mostly carried out manually without guidelines or standardized procedures for dealing with the many factors of cluster analyses. Consequently, ...

Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...

In model-based clustering of complex data, a probability model, typically a finite mixture probability model, forms the basis of the distance measure between any pair of clusters. The idea of ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A single type of machine learning algorithm can be used to identify fake ...

Our ability to gather genome-wide expression data has far outstripped the ability of our puny human brains to process the raw data. We can distill the data down to a more comprehensible level by ...