搜索资源列表
Semi-supervised-learning
- 义了一个欧氏距离和监督信息相混合的新的最近邻计算函数，从而将K一均值算法很好地应用于半 监督聚类问题。针对K一均值算法初始质心敏感的缺陷，用粒子群算法的搜索空间模拟聚类的欧氏空间，迭代搜 索找到较优的聚类质心，同时提出动态管理种群的策略以提高粒子群算法搜索效率。算法在UCI的多个数据集 上测试都得到了较好的聚类准确率。-Righteousness of a Euclidean distance and supervision of a mixture of new nearest n
Ch3Clustering
- 这个是k-means算法的完整实现 k-means 算法是数据聚类算法中比较经典的算法，非常适合初学者-this code is a implementation of k-means algorithm；it is suitable for beginner.
DMProject
- 针对微博短文本话题聚类算法，采用K-means,DBSCAN等聚类算法-Clustering algorithm for the short version of the microblogging topic
machine-leaning-
- 机器学习的聚类代码，gmm、层次聚类、k-means,并包含各种数据文件-machine leaning code
clustering
- 使用K-means，混合高斯模型（GMM），层次聚类算法实现的多类别数据的聚类。内含详细的实验报告。-Using K-means, Gaussian mixture model (GMM), hierarchical clustering algorithm to achieve multi-class data clustering. Including a detailed lab report.
FB_DataMing_kmeans
- k-means数据挖掘算法，基于kmeans聚类算法工艺参数基准值的挖掘-mining data mining of the k-means algorithm, based on the kmeans clustering algorithms process parameters reference value
Kmeans
- 划分聚类中的K-means算法，运用的欧式距离作为度量距离-The instance of K-means clustering algorithm
hcm
- k均值是一种简单有效的聚类方法 可用在图像处理和数据挖掘等方面-k-means is a simple and effective clustering method can be used in image processing and data mining
Kmeans
- 统计学中，聚类的划分K-means算法，可以较好地实现不同数据点之间的分离-K-means algorithm used to do partition in a large amount of data points
KCluster
- K-MEANS算法，聚类数值分析，C++源代码，值得学习。-K-MEANS algorithm, clustering the numerical analysis C++ source code, it is worth learning.
CH3Clustering
- 基于k-means的聚类编程，例如：随机选取k个中心点，经过计算每个点到k个中心距离的远近，将其归类。最后总的距离平方差最小，即停止。-Programmed based on k-means clustering, for example: randomly select k central point has been calculated for each point to the k center distances, will be classified. The final total
kmeans
- 数据挖掘中的聚类算法，为k均值算法，算比较经典的算法-Clustering algorithm in data mining, considered a classic algorithm for k-means algorithm
Skin-disease
- 基于聚类算法的皮肤病实例，利用k均值算法对皮肤病进行聚类-Based clustering algorithm skin instance using the k-means algorithm clustering of skin diseases
Cluster
- 使用k-means、k-media、层次聚类方法，并通过iris数据集测试-Using k-means, k-media, hierarchical clustering method, and through the iris data set test
K_means
- k均值算法实现聚类,利用数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则-k-means clustering algorithm, the use of the data points to the prototype of a distance as the objective function of optimization, the use of function extremum iteration adjustment rules
UCI
- 利用k-means对UCI数据集进行聚类分析，程序中列举了数据集wine和heart数据集-Using the k- means cluster analysis was carried out on the UCI dataset, listed in the program data collection of wine and heart of data sets
kMeansCluster
- 数据挖掘中k均值划分聚类算法。输入对象的数据集矩阵和簇的数量，使用欧拉距离计算对象之间的相拟度-K-means partitioning clustering algorithm in data mining. Input object data sets matrix and the number of clusters, using euler distance calculation。
spectralclustering
- 谱聚类的matlab实现，其中包括k-means的实现，谱聚类聚类结果要优于k-means的聚类结果-Spectral clustering matlab code, including the code of k-means, spectral clustering results is better than k-means clustering results
julefenxi
- 聚类分析算法（K-means）。里面有三个类似相关算法。数据挖掘人工智能等-Clustering algorithm (K-means). There are three similar correlation algorithm. Data mining and artificial intelligence
JLFX
- 聚类分析算法（K-means）。里面有三个类似相关算法。数据挖掘人工智能等-Clustering algorithm (K-means). There are three similar correlation algorithm. Data mining and artificial intelligence