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Description: 关于c均值的经典算法 kMeansCluster-on c-means algorithm classic kMeansCluster
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Size: 1528 |
Author: jiuzitian |
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Description: 实现一个超级聚类程序,具有很好的参考价值.
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Size: 27455 |
Author: 李德志 |
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Description: 这个程序主要讲述了数据挖掘中K均值算法的应用
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Size: 2130 |
Author: 郭乌行 |
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Size: 1024 |
Author: jiuzitian |
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Description: 实现一个超级聚类程序,具有很好的参考价值.-The realization of a super-cluster procedure, with a very good reference value.
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Size: 27648 |
Author: 李德志 |
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Description: 这个程序主要讲述了数据挖掘中K均值算法的应用-This process focuses on data mining in the application of K-means algorithm
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Size: 2048 |
Author: 郭乌行 |
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Description: K-均值聚类，比较好的聚类方法，应用广泛-K-means clustering, a better clustering method, widely used
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Size: 1024 |
Author: 王娆芬 |
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Description: PoseEstimation with kMeansCluster
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Size: 1024 |
Author: amin amini |
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Description: A matlab example of k means clustering
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Size: 1024 |
Author: sam |
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Description: C kmeans clustering codes
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Size: 1024 |
Author: Syaliza |
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Description: K Means Cluster Matlab Source Code
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Size: 2048 |
Author: Wush |
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Description: k均值分类 效率高 代码简单 利用最小均方误差准则编写-k-means efficient
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Size: 2048 |
Author: 张雪 |
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Description: 采用kmeans聚类方法，实现多个配送中心选址。-By kmeans clustering method of multiple distribution center location.
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Size: 2048 |
Author: jackleeme |
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Description: 基于C语言的K-means聚类分析，可完成图像分割-C language-based K-means cluster analysis of image segmentation
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Size: 29696 |
Author: 刘钊 |
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Description: 加油邻域信息的K均值聚类算法，能有有效的去除噪声的干扰，达到好的聚类效果。算法的速度快，执行效率高-K-means clustering algorithms.
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Size: 103424 |
Author: 张飞 |
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Description: k mean clustering algo
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Size: 1024 |
Author: bubun |
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Description: K-Means聚类算法 Matlab代码-K-Means clustering algorithm Matlab code
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Size: 2048 |
Author: selina |
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Description: it is one of the simplest implementation of k-means algorithm
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Size: 1024 |
Author: Abhijit Chanda |
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Description: kMeansCluster - Simple k means clustering algorithm
Author: Kardi Teknomo, Ph.D.
Purpose: classify the objects in data matrix based on the attributes
Criteria: minimize Euclidean distance between centroids and object points
For more explanation of the algorithm, see http://people.revoledu.com/kardi/tutorial/kMean/index.html
Output: matrix data plus an additional column represent the group of each object
-kMeansCluster - Simple k means clustering algorithm
Author: Kardi Teknomo, Ph.D.
Purpose: classify the objects in data matrix based on the attributes
Criteria: minimize Euclidean distance between centroids and object points
For more explanation of the algorithm, see http://people.revoledu.com/kardi/tutorial/kMean/index.html
Output: matrix data plus an additional column represent the group of each object
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Size: 1024 |
Author: ach |
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Description: 关于c均值的经典算法 kMeansCluster-on c-means algorithm classic kMeansCluster
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Size: 2048 |
Author: forsdth |
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