classification algorithms using cellular automata in pattern recognition
Classification algorithms using cellular automata in pattern recognition refers to the use of cellular automata, which are computational models characterized by a grid of cells, to analyze data and identify patterns. These algorithms employ rules that govern the behavior of cells and their interactions to classify input patterns or data into specific categories or classes. This approach utilizes the decentralized and parallel nature of cellular automata to effectively recognize and categorize patterns in various domains such as image processing, speech recognition, and data mining.
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