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在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
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模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
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模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
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模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
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模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
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KNN算法，用于数据挖掘中数据离散化处理-K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning
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在机器学习领域，支持向量机SVM(Support Vector Machine)是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
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对数据和图像进行聚类分析，k-means聚类方法多应用于模式识别，人工智能，机器学习等方面(Clustering analysis of data and images, K-means clustering method should be used in pattern recognition, artificial intelligence, machine learning and so on)
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