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kmeans
- 改进的k-means方法，对聚类的实例节能型加权 少数类多数类的函数-Improved k-means method for clustering a small number of examples of energy-saving type of weighted majority of types of function
kmeansclustering
- K means clustering using php.
K-Means
- 用于图像处理，K-MEANS聚类实现图像的分割和识别，是一种重要的图像处理方法-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
k-means
- 使用k-means算法模拟向量量子化过程-Using k-means algorithm for vector quantization process simulation
KMEANSalgorithmMatlabimplementationmethods
- K-MEANS算法Matlab实现方法，试过，能用，简单易读-K-MEANS algorithm Matlab implementation methods, tried, use, easy accessibility
K-Means
- 这是K-neans动态聚类算法的源程序，是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
K-mean
- 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-K-means algorithm: the number of a given type of K, will be assigned to N objects of category K go, making the object category similarity between the largest, while the category of the simi
cluster1
- it is java code for k means clustering algorithm
fuzme_matlab
- Fuzy K Means 快速图象分割Fuzy K Means Fuzy K Means-Fuzy K Means Fuzy K MeansFuzy K MeansFuzy K MeansFuzy K MeansFuzy K Means
LocalK-meansAlgorithmforColourImageQuantization.r
- Local K-means Algorithm for Colour Image Quantization
corrected
- k means clustering algorithm
kmeans-image-segmentation
- K均值算法实现图像的分割，分割效果可以达到预期的效果-K-means algorithm to achieve image segmentation, segmentation results can be achieved the desired results
51622445texturepinyuA2
- K均值聚类算法 由于对纹理图像使用灰度共生矩阵分割效果不明显 因此该算法使用图像频域进行处理-K-means clustering algorithm because of the texture image segmentation using the gray co-occurrence matrix effect was not obvious, therefore use the algorithm for processing images in frequency domain
109201305K
- K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
SOMD
- fuzzy k-means algorithm for cluster
K-Means
- K-Means聚类算法 Matlab代码-K-Means
k-centers
- 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the Method
KMEANS
- 使用一种改进的k均值进行图像处理，方便使用-The use of a k-means for improved image processing, user-friendly
K-means
- 通过对聚类分析及其算法的论述，从多个方面对这些算法性能进行比较，同时以儿童生长发育时期的数据为例通过聚类分析的软件和改进的K－means算法来进一步阐述聚类分析在数据挖掘中的实践应用。-Through cluster analysis and discussion of algorithms, from a number of aspects of the performance of these algorithms compared to growth and development of
kmeans-image-segmentation
- K均值 很好用的K均值代码 -K-means K-means used in a very good code