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K-mean聚类的原理和MapReduce实现
- K-mean聚类的原理和MapReduce实现
mmse_eq
- Here we design the minimum mean-squared error (MMSE) equalizer coefficients {q[k]}assuming that the input symbols {a[n]} and the noise { ˜ w[k]} are white random sequencesthat are uncorrelated with each other.-Here we design the minimum mean-squa
matlab-code
- 模式识别c均值聚类，也陈k均值，是模式识别中最最要的聚类方法之一。-Pattern Recognition, c-means clustering, and Chen k means, is far the most to the clustering pattern recognition methods.
classification
- 基于K均值算法的模糊分类器具有很好的分类效果,用它可以很准确的对训练样本进行分类. 此方法是将K均值算法应用于训练数据的聚类,对每个聚类的半径和聚类的中心都是可计算的. 而模糊系统设计方法就是用模糊度来描述聚类, 对训练数据进行高效且准确的分类.-based on K-mean Algorithm,it can Classify the original data very well!
ColorImageSegmentation
- Color Image Segmentation using K-mean . Matlab Code
Combining-face-detection-and-people-tracking-in-v
- Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
Km
- In data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results in a partitioning of the data space into Vo
K-mean-by-Jayesh
- K mean easy implementation
k-mean
- 快速K均值分类方法,该方法简单准确，是一个很好的参考程序-Fast K-means classification method, the method is simple and accurate, is a good reference
9552010E202
- This paper presents a new cluster validity index for nding a suitable number of fuzzy clusters with crisp and fuzzy data. The new index, called the ECAS-index, contains exponential compactness and separation measures. These measures indicate ho
clustersuvey
- 讲解了分层次聚类法、最简单聚类法、最大距离样本、K平均聚类法、叠代自组织聚类法、ISODATA法的改进等-Explain the hierarchical clustering method, the simplest clustering method, the maximum distance the sample, K mean clustering method, self-organizing clustering iterative method, ISODATA method of
mean-var-s-k
- 当系统的结构参数和负荷情况都已给定时，调节可利用的控制变量(如发电机输出功率、可调变压器抽头等)来找到能满足所有运行约束条件的，并使系统的某一性能指标(如发电成本或网络损耗)达到最优值下的潮流分布。-OPF is a fundamental tool in power system planning and operation
K-nearest-neighbors
- K MEAN CLUSTERING FOR IMAGE PROCESSING
V7
- Detection of viruses in tomatoes leaf based on K-Mean clustering algorithm-Detection of viruses in tomatoes leaf based on K-Mean clustering algorithm
Detection-of-viruses-in-tomatoes-leaf-based-on-K-
- Detection of viruses in tomatoes leaf based on K-Mean clustering algorithm
Random-center---segma
- k mean cluster for radial basis function neural network
k-junzhi
- 通过对K-均值算法的编程实现，加强对该算法的理解和认识。提高自身的知识水平和编程能力，认识模式识别在生活中的应用。 算法思想K-均值算法的主要思想是先在需要分类的数据中寻找K组数据作为初始聚类中心，然后计算其他数据距离这三个聚类中心的距离，将数据归入与其距离最近的聚类中心，之后再对这K个聚类的数据计算均值，作为新的聚类中心，继续以上步骤，直到新的聚类中心与上一次的聚类中心值相等时结束算法。-By programming K- means algorithm implementation, s