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.
TechTarget defines machine learning as: “... it is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed.
Master Data Management (MDM) provides a unified view of data across multiple systems to meet the analytics needs of a global enterprise. Whether MDM identifies customers, products, suppliers, locations, or other important attributes, MDM creates single images of master and reference data.
NLP tokenization (NLP Tokenization) is the process of dividing raw text into “tokens”, which are small units that can be processed by machine learning models in natural language processing.
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