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matlab代码实现最小距离分类器
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最小距离分类器，matlab环境下，可直接调用
详 情 说 明
The minimum distance classifier is a machine learning algorithm used to classify data points into different categories based on their proximity to pre-defined class centers. It can be implemented in the MATLAB environment and can be easily called for use in classification tasks. This algorithm calculates the Euclidean distance between a data point and each of the class centers, and assigns the data point to the class with the closest center. The minimum distance classifier is a simple yet effective approach to classification and is widely used in various fields such as image recognition, speech recognition, and natural language processing.
