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.
Latent space refers to a multidimensional space in the background of AI and machine learning models, representing the deeper relationships of data.
This technology aims to improve our quality of life by communicating with each other, understanding and predicting human behavior by the devices around us.
Data Preparation is the process of cleaning, organizing, and making raw data suitable for analysis.
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