搜索资源列表
cjdkfoe
- 寻找k个聚类中心的算法，也就是对k-means算法初始化进行改进的一种算法
K均值类方法原理
- 详细介绍K-means family的原理与发展趋势。
GMM
- Source code - create Gaussian Mixture Model in following steps: 1, K-means 2, Expectation-Maxximization 3, GMM Notice: All datapoints are generated randomly and you can config in Config.h-Source code- create Gaussian Mixture Model
K-MEANS
- keans的课件，非常好，希望对大家有用，欢迎大家下载-keans courseware, very good, hope to be useful, and welcome to download
reachonmethordclusing
- 本文对K-means 和CURE聚类算法的算法思想和优缺点进行了深入的理论研究，并对这两类算法的性能进行了分析与比较。-In this paper, and K-means clustering algorithm CURE thinking and the advantages and disadvantages of an in-depth theoretical study and performance of these two types of algorithms are analy
052520
- 提出了一种用于矢量量化的改进的聚类算法,该算法在MKM(Modified K-Means)算法的框架的基础上,对初始码本的生成、失真测度的选择、非典型胞腔的处理等方面进行了改进,从而减少了原算法在能量和增益上对聚类结果的影响.并将该算法应用于波形编辑孤立字识别器,这种识别器直接对语音样本的时域波形进行训练和聚类,不需要提取语音参数,算法复杂度较低,加上提出的聚类算法失真测度简单易实现,对芯片的运算能力要求不高,非常适用于有低成本要求的语音识别器场合.通过中文元音字识别的实验证明,在相同码本尺寸下
KdistributionandGaussianclutter
- K分布和高斯杂波复合背景下的相干雷达目标检测-K distribution and Gaussian clutter in the context of complex coherent radar target detection
PhamDN05-kmeans
- k-means cluster algorithm
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
MATLAB
- PSO算法，标准的粒子群 算法，标准的粒子群 算法，-PSO，slkdndmndmnd.ldd lkdl k
K-means
- the whole source code for this example using the k=3 and the initial means are (2, 10) (5 ,8) and (1, 2) and the the following are the points. piont A1 (2, 10) A2 (2, 5) A3 (8, 4) A4 (5, 8) A5 (7, 5) A6 (6, 4)
junzhi
- k-均值算法，主要进行在matlab中的程序实现，进行图像的分割处理-k-means algorithm, mainly for the program in the matlab implementation for image segmentation
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
K-MeansDistance
- In this paper, we try to find out the efficiency of K-means algorithm with respect to different distance measures-In this paper, we try to find out the efficiency of K-means algorithm with respect to different distance measures
K-SVD
- K均值，K-SVD算法，字典学习，英文版算法的翻译-K-means, K-SVD algorithm, dictionary learning algorithm in English translation
k-meansII
- this file is developed the k-means|| algorith to clustring big data
K-means
- k-means 在hadoop mahout上的运作-the K-Means algorithm using on hadiio mahout
randomized-dimensionality-reduction-for-k-means.r
- Randomized Dimensionality Reduction for k-means Clustering This paper makes further progress towards a better understanding of dimensionality reduction for kmeans clustering. Namely, we present the first provably accurate feature selection met
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
K-Means
- 对500个随机二维坐标点进行聚类，然后通过C++程序输出窗口输出。(Cluster Algorithm.Put the 500 2d points into 20 clusters.)