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.
Data anonymization techniques are the modification of data in systems in such a way as to prevent the data from pointing to a specific individual while maintaining the format and consistency of the data.
IVR is a telephone technology that interacts with callers through pre-recorded voice messages, also known as Voice Response System.
Transfer Learning is a powerful technique used to speed up the training process and improve the performance of artificial intelligence and machine learning models. Transfer learning enables a model to reuse knowledge learned in a previous task in another task.
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