Semisupervised learning is a type of machine learning that combines supervised and unsupervised techniques. For example, a photo hosting service may use unsupervised learning to recognize an individual present in multiple photographs (using clustering), then prompt the user for that individuals name to apply the label (the person's name) to the cluster (the set of photos in which the person appears).
Broader Topics Related to Semisupervised Learning
Supervised Machine Learning
Machine learning that uses pre-labeled input as training data
Types of Machine Learning
An overview of the types of machine learning
Unsupervised Machine Learning
Machine learning that uses unlabeled input as training data