Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

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 ...

for video podcasters, online educators, or other video enthusiasts who want to distribute content online with fast turnaround. “We see this new version of the Pooch QuickTime Exporter as an example of ...

Electroencephalography (EEG) signal compression techniques have evolved considerably over recent years, addressing the critical challenge of managing the voluminous datasets generated by ...