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Description: 实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or)
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Size: 1378 |
Author: 阿兜 |
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Description: 实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or)
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Size: 1024 |
Author: 阿兜 |
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Description: matlab code for k-means for neural net RBF
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Size: 2048 |
Author: Mary |
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Description: 使用java实现了数据挖掘中的K-mean算法，并进行了适当的改进，代码清晰，支持多维，可以方便修改代码接口。-Java implementation of data mining using the K-mean algorithm, and make the appropriate improvements, code clarity, support multi-dimensional, you can easily modify the code interface.
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Size: 7168 |
Author: 颜超 |
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Description: k-means算法 算法算法 算法算法 算法 -k-means algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm
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Size: 1024 |
Author: 赵翔 |
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Description: matlab implementation of k-means classification algorithm to classify images.
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Size: 1024 |
Author: Xiaoyang |
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Description: k_means algorithm with matlab
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Size: 2048 |
Author: poor |
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Description: 我写的一个带权重的kmeans算法，在计算中心点的位置时考虑到了每个点的权重-I wrote a kmeans algorithm with weights in the calculation of the position of the center point to take into account the weight of each point
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Size: 1024 |
Author: yxy |
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Description: Image Segmentation is vital role in nowadays.
The K-means algorithm usually the initial centroids for the K-means clustering are determined randomly so that the determined centroids may reach the nearest local minima, not the global optimum.
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Size: 1024 |
Author: Satya |
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Description: 改进的K-means算法，速度快，输入是样本的特征向量和聚类类别数，每一行代表一个样本，每一列代表一个特征，输出聚类标签-Improved K-means algorithm, fast, is a sample of the input feature vectors and cluster number of categories, each row represents a sample, and each column represents a characteristic output cluster labels
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Size: 3072 |
Author: guo kuan |
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Description: 适合初学者学习kmeans聚类算法的简单的MATLAB程序，可以直接调用实现聚类结果-it is useful for beginners to learn about kmeans algorithm
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Size: 2048 |
Author: 贺佳妮 |
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Description: k均值 kmeans算法java 可直接调用-kmeans java
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Size: 10240 |
Author: 王梦佳 |
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Description: 模式识别学习中使用matlab编写的Kmeans算法实现的小程序-Learning to use pattern recognition matlab prepared Kmeans algorithm small program
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Size: 1024 |
Author: zhouzhou_yu |
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