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.
Bayesian Networks are one of the most widely used types of probabilistic graphical models. Providing effective solutions for decision making and inference under uncertainty, these networks play a critical role in artificial intelligence, machine learning and data analysis.
Backpropagation is a fundamental algorithm used in the learning process of artificial neural networks. This algorithm allows neural networks to learn how to optimize the weights needed to solve a problem.
Zero-based budgeting is an effective tool for organizations to control costs, manage resources, improve business processes, and improve performance.
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