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 ...

Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

Two dimensional images are prepared through either negative staining or vitrification. These are then transformed into higher resolution, 2D projections that are then reconstructed to form a 3D ...