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.
Quantum computing is an innovative technology that carries out information processing processes based on the principles of quantum mechanics and has the potential to solve problems of complexity that classical computers cannot solve.
Meta Data is data that describes other data in a structured, consistent form, so that large amounts of data can be collected, stored, and analyzed over time.
Variational Autoencoders (VAE) are a powerful model in the world of deep learning and are used to discover hidden structures in data.
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