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本文介绍了支持向量机基于核方法的聚类算法及其应用-This paper introduced the support vector machine based on kernel method for clustering algorithm and its application
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针靖目前人脸检测方法遵度与精度难以兼有的问题。本文提出了一种嬉合离斯横甓和党持向量机的人膝检测方法。
先载用皮肤颜色在YCbCr窒阍鲢聚类性。蛄肤色建立高斯模型以分制虫可能的人脸菇域。露将迭臻区域输入捌支特向量机
检测并标记出检攫ll结暴!实验结暴证瞬。本文提出的方法捡溅效装令人满意。-Needle Jing compliance degree of accuracy of the face detection method is difficult to both problems.
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图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
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支持向量增长聚类方法 Support vector growth clustering methods-Growth in Support vector clustering method Support vector growth clustering methods
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Growth in Support vector clustering method Support vector growth clustering methods
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包括聚类分析，支持向量机，随机森林等算法(Including clustering analysis, support vector machines, random forests and other algorithms.)
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