What are some common techniques used in pattern recognition?
- Decision trees
- Neural networks
- Support vector machines
- k-means clustering
Common techniques in pattern recognition include k-means clustering, which groups similar data points together based on their features; decision trees, which classify data based on a series of decisions or rules; support vector machines, which separate data points into different categories using hyperplanes; and neural networks, which mimic the structure and function of the human brain to recognize complex patterns in data.
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