Identifying groups of similar objects is a popular first step in biomedical data analysis, but it is error-prone and impossible to perform manually. Many computational methods have been developed to ...

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, or cluster analysis, is the process of grouping data items so that similar items belong to the same group/cluster. There are many clustering techniques. In this article I'll explain ...

Every second trillions of data bits are accumulated and stored. All these data bits make no sense if you don't know how to sort them. Now researchers present a tool that helps researchers sort data ...

Everybody is talking about keyword clusters. At the core, it’s pretty simple – group related keywords together. Sounds easy, right? Some free tools walk you through some basic Natural Language ...

The Certificate in Data Analytics is a 4-course, affordable option for professionals who need to upgrade their IT skills to meet current market demands. More and more organizations are collecting ...

Clinical trials and high-throughput flow cytometry produce large amounts of data, leading to an analysis bottleneck unaddressed by commercially available cytometry analysis software. As the throughput ...