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.
Autoregressive models are a powerful method used especially in artificial intelligence and time series analysis. These models are developed to predict future values using historical data.
GPT (Generative Pre-trained Transformer) is a model developed in the field of artificial intelligence, especially for natural language processing (NLP) applications.
Data visualization makes it possible to quickly obtain information by visualizing data regardless of format, type or source. It also allows the presentation of information that is not visible at first glance about what the data means in a clear and clear way.
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