Cluster analysis or clustering is a statistical classification technique or activity that involves grouping a set of objects or data in such a way that those contained in the same group (cluster) will be similar to each other but different from those in the other group. It is required for data mining and exploration, and is commonly used in the bioinformatics industry and other sectors within the scope of machine learning, pattern recognition, image analysis, and analyzing large datasets.
Self-supervised learning is an approach that aims to solve this problem. This method allows models to learn from unlabeled data and greatly reduces the need for data labeling.
This process, known as database shrinking, is a form of compression. It is intended to reduce the overall space without interfering with the data.
Explainable Artificial Intelligence (XAI) is a field of artificial intelligence that focuses on the ability of artificial intelligence systems, and especially machine learning models, to explain decisions and behaviors in a way that is understandable to humans.
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