Description: K近邻算法在Matlab中的实现,相当完整,对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped Platform: |
Size: 134144 |
Author:long |
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Description: In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approximated locally and all computation is deferred until classification. The k-nearest neighbor algorithm is amongst the simplest of all machine learning algorithms: an object is classified by a majority vote of its neighbors, with the object being assigned to the class most common amongst its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of its nearest neighbor. Platform: |
Size: 589824 |
Author:bwindhya |
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Description: 关于K近邻算法的详细描述,包括算法原理及应用背景。-K-nearest neighbor algorithm on a detailed description, including algorithm theory and application background. Platform: |
Size: 413696 |
Author:汪婵 |
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Description: 对大量文件中相关内容的搜索,k近邻查询算法及一些改进-A large number of files in the search k nearest neighbor query algorithm and some improvements Platform: |
Size: 4675584 |
Author:wyj |
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Description: 从K近邻算法、距离度量谈到KD树、SIFT+BBF算法,讲解详细,非常有用-From K neighbor algorithm and distance measurement when it comes to KD tree, SIFT+ BBF algorithm, explain in detail, very useful Platform: |
Size: 1599488 |
Author:mumu |
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