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 ...

Modern data rarely arrives in tidy, well-separated groups. Images, gene expression profiles, sensor streams, and document ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...

Image segmentation is one of those deceptively simple tasks that quietly underpins much of modern computer vision. Before a self-driving car can recognize a pedestrian, before a radiologist’s AI a ...

Thanks to technological advances, scientists have access to vast amounts of data, but in order to put it to work and draw conclusions, they need to be able to process it. In research recently ...

Clustering is a data science technique in machine learning that groups similar rows in a data set. After running a clustering technique, a new column appears in the data set to indicate the group each ...

Spectral clustering is quite complex, but it can reveal patterns in data that aren't revealed by other clustering techniques. Data clustering is the process of grouping data items so that similar ...

With the development of satellite networks, space-air-ground integrated networks, and the Internet of Things, the future giant constellations, high-resolution Earth observation, human-crewed ...