Clustering algorithms are a form of unsupervised learning algorithm. ... mean-shift clustering doesn’t need a person to select the number of groups — it automatically discovers this in-process.

AI clustering is the machine learning (ML) process of organizing data into subgroups with similar attributes or elements. Clustering algorithms tend to work well in environments where the answer ...

Data clustering is the process of placing data items into different groups ... 1 and 2, respectively. Then the clustering algorithm iterates through the tuples, assigning each tuple to the cluster ...

The screenshot in Figure 2 shows a demo C# program that uses the k-means algorithm to cluster the data. [Click on image for larger view.] Figure 1. Raw Data to Cluster [Click on image for larger view.

Now that the groups in Belfast and Vienna have proved that Deutsch’s Algorithm works for a cluster-based quantum computer, the next step is to apply it to larger systems.