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Description: 数据挖掘领域中的一种算法－ML-KNN是一种改进的最近邻算法
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Size: 5123 |
Author: 李平 |
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Description: 数据挖掘领域中的一种算法－ML-KNN是一种改进的最近邻算法-Data Mining in the area of an algorithm-ML-KNN is an improved nearest neighbor algorithm
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Size: 5120 |
Author: 李平 |
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Description: 使用MATLAB实现的基于多类别的KNN算法，简称为MLK-Using MATLAB to achieve KNN algorithm based on multi-category, referred to as MLKNN
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Size: 5120 |
Author: alan |
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Description: ML-KNN实现过程，包括训练和测试两个过程-the process of ML-KNN, including training and testing
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Size: 5120 |
Author: Susie Hou |
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Description: 本代码主要用了多标签K近邻方法（MLKNN）实现对多标签数据进行分类-This code mainly spent more than a label K-nearest neighbor method (MLKNN) to achieve the multi-label data classification
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Size: 470016 |
Author: 何 |
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Description: 针对单标记学习算法KNN进行改进，适用于多标记数据集改造而成的多标记K临近算法。java代码-Improved learning algorithm for single marker KNN, suitable for multi-label data sets adapted multi-label K near the algorithm. java code
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Size: 4096 |
Author: SensorNetwork |
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Description: K近邻分类算法是一种简单有效的方法，基于此提出了多标签K近邻分类算法用于多标签分类研究(multi-label classification algorithm)
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Size: 7168 |
Author: 陶院新生
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Description: ML-KNN，这是来自传统的K-近邻（KNN）算法。详细地，为每一个看不见的实例中，首先确定了训练集中的k近邻。之后，基于从标签集获得的统计信息。这些相邻的实例，即属于每个可能类的相邻实例的数量，最大后验（MAP）原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究，即酵母基因功能分析、自然场景分类和网页自动分类，表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbor (KNN) algorithm. In detail, for each unseen
instance, its K nearest neighbors in the training set are firstly identified. After that, based on statistical information gained from the label sets of
these neighboring instances, i.e. the number of neighboring instances belonging to each possible class, maximum a posteriori (MAP) principle
is utilized to determine the label set for the unseen instance. Experiments on three different real-world multi-label learning problems, i.e. Yeast
gene functional analysis, natural scene classification and automatic web page categorization, show that ML-KNN achieves superior performance
to some well-established multi-label learning algorithms.
2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.)
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Size: 5120 |
Author: 玖
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Description: 该程序是基于传统的K近邻方法发展而来的一种可用于多标签分类的方法(this code can be used for multi-label classification problem)
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Size: 5120 |
Author: taoyuan123
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Description: C／C++中国象棋程序入门与提高源码程序(program for CChess by C/C++)
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Size: 7896064 |
Author: aq11 |
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