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Description: 这是一个用c和matlab编写的程序，用于实现k-means算法-This is a matlab with c and the preparation of the procedures used to implement k-means algorithm
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Size: 6144 |
Author: 海天 |
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Description: 通过语音mfcc特征参数提取采用k均值算法实现说话人识别功能-Via voice MFCC feature extraction algorithm using k-means function of speaker recognition
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Size: 5120 |
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Description: K均值聚类算法,matlab编写,很好用-K means clustering algorithm, matlab prepared very well with
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Size: 2048 |
Author: 桂长青 |
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Description: 模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程-One of the classic pattern recognition algorithms, dynamic clustering k-means algorithm using matlab programming
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Size: 2048 |
Author: 张云 |
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Description: 用于模式识别的MATLAB源代码,准确性高,比较好用.-For Pattern Recognition MATLAB source code, high accuracy, relatively easy to use.
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Size: 9216 |
Author: 杨紫 |
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Description: K-MEANS算法程序(MATLAB环境)-K-MEANS algorithm procedure (MATLAB environment)
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Size: 1024 |
Author: liuwei |
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Description: KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现-KNN algorithm, k-nearest neighbors clustering algorithm to achieve the matlab
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Size: 2048 |
Author: jack |
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Description: 中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。
MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.-Center drift is a non-supervised clustering algorithm (k-means algorithm with the similar, but more a wider range of applications), can be used for image segmentation, based on the realization of the source Matlab. MedoidShift is a unsupervised clustering algorithm (similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.
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Size: 36864 |
Author: 陈明 |
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Description: 数据挖掘算法很多，其中模糊k均值算法是目前使用比较多的分类方法-Many data mining algorithms, including fuzzy k-means algorithm is currently using a relatively large number of classification methods
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Size: 3072 |
Author: 张云 |
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Description: kmeans的matlab演示代码,挺好用-kmeans the matlab demo code, very good use
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Size: 1024 |
Author: 胡建龙 |
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Description: 改进的k均值算法，可以加速运行时间，详见Using the Triangle Inequality to Accelerate k-Means-Improved k-means algorithm, can accelerate the running time, see Using the Triangle Inequality to Accelerate k-Means
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Size: 13312 |
Author: xz |
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Description: 现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡-The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of
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Size: 2048 |
Author: ben |
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Description: k-means算法，请大家参考，这是一个新的k-means源码-k-means algorithm, please refer to, this is a new source of k-means
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Size: 82944 |
Author: fanliutong |
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Description: 这是一个关于k中心聚类的算法，希望大家指点。-It is a clustering algorithm k centers, I hope everyone pointing.
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Size: 593920 |
Author: fanliutong |
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Description: K均值聚类算法，将模式识别方法与图像处理技术相结合，掌握利用K均值聚类算法进行图像分类的基本方法-K-means clustering algorithm, the pattern recognition method and image processing technology, to master the use of K-means clustering algorithm is the basic method of image classification
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Size: 1024 |
Author: 孟星 |
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Description: k均值算法matlab实现，模式识别中常用-k-means algorithm matlab realize, pattern recognition used in
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Size: 1024 |
Author: chenyu |
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Description: 此程序用与图象 图形的模式识别,在VC环境下实现matlab的聚类算法-This procedure with graphics and image pattern recognition, in the VC environment realize the clustering algorithm matlab
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Size: 4665344 |
Author: 朱舸 |
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Description: K-MEANS算法
输入：聚类个数k，以及包含 n个数据对象的数据库。
输出：满足方差最小标准的k个聚类。
处理流程：
（1） 从 n个数据对象任意选择 k 个对象作为初始聚类中心；
（2） 循环（3）到（4）直到每个聚类不再发生变化为止
（3） 根据每个聚类对象的均值（中心对象），计算每个对象与这些中心对象的距离；并根据最小距离重新对相应对象进行划分；
（4） 重新计算每个（有变化）聚类的均值（中心对象）-K-MEANS algorithm Input: cluster number k, and contains n data object database. Output: the minimum standards to meet the variance k-clustering. Deal flow: (1) a data object from the n choose k object as initial cluster centers (2) cycle (3) to (4) until a change in each cluster is no longer so far (3) according to each Clustering objects mean (central object), calculated for each object with these centers to object distance and in accordance with a minimum distance between a re-division of the corresponding object (4) re-calculated for each (change) clustering of the mean (central object )
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Size: 3072 |
Author: 快快 |
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Description: k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）-k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix)
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Size: 1024 |
Author: cc |
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Description: 本文采用模糊K聚类算法对图片进行分类，并输出相应的分类结果！采用matlab环境进行仿真。-In this paper, K fuzzy clustering algorithm to classify on the picture, and output the corresponding classification results! Using matlab simulation environment.
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Size: 3072 |
Author: 张辉 |
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