搜索资源列表
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基于RSSI的网络定位算法，质心算法，有详细注释-Wireless sensor RSSI centroid localization algorithm, detailed notes
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基于粒子群优化的改进加权质心定位算法Particle swarm optimization based on the improved weighted centroid localization algorithm-Particle swarm optimization based on the improved weighted centroid localization algorithm
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k-menas using genetic algorithm for centroid initialization
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k中心点聚类算法的具体实现，代码已优化，可以顺利运行。-K centroid clustering algorithm’s realization, the code has already been optimized, and can be smoothly operated.
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义了一个欧氏距离和监督信息相混合的新的最近邻计算函数，从而将K一均值算法很好地应用于半
监督聚类问题。针对K一均值算法初始质心敏感的缺陷，用粒子群算法的搜索空间模拟聚类的欧氏空间，迭代搜
索找到较优的聚类质心，同时提出动态管理种群的策略以提高粒子群算法搜索效率。算法在UCI的多个数据集
上测试都得到了较好的聚类准确率。-Righteousness of a Euclidean distance and supervision of a mixture of new nearest n
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this algorithm is about KNN and centroid classifier
it can work with 20news group dataset-this algorithm is about KNN and centroid classifier
it can work with 20news group dataset
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实现聚类，预测数据，在教育行业十分有帮助(The basic idea of KMeans algorithm is that the initial random given K cluster centers, according to the nearest neighbor principle, the sample points are divided into different clusters. Then, the centroid of each cluster is comp
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