搜索资源列表
K_means
- 模式识别中的聚类算法，读取文件，实现K均值的分类。-Pattern Recognition in the clustering algorithm to ensure that you can run the
k_means
- k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-In statistics and machine learning, k-means clustering is a method of cluster analysis which aims to partition n observations into
k_means
- K-means algorithm in C++ user pre-defined cluster number input file of data points output file of final best centroids
DataMingAlgorithm
- 本压缩包中包括了几个常用的经典的数据挖掘算法，有k_means，CART，fuzzy_k_means，id3，SVM，很有实用性-The compressed package includes several commonly used classical data mining algorithms, there are k_means, CART, fuzzy_k_means, id3, SVM, is very practical
cluster
- 经典K_MEANS聚类算法，代码详细，编程风格良好-Classic K_MEANS clustering algorithm, the code in detail, good programming style
K_Means
- K均值算法，实现一种动态聚类法--迭代自组织数据分析算法，这是一种较为简单的K均值算法-K means algorithm, to achieve a dynamic clustering method- iterative self organizing data analysis algorithm, which is a relatively simple K-means algorithm
k_means
- 杜达的《模式分类》第二版的配套的Matlab源代码杜
K_Means
- K-Means(java)算法 有界面,可从文本中读取数据-K-Means (java) algorithm has interface to read data from text
k_means
- 简单的k-means算法代码，交流学习 -Simple k-means algorithm code, exchange learning to learn
DigitalImageprocessing2
- lesson4 讲解kmeans cluster algorithm 1. C++程序名 pointCluster 2. 数据文件 non 3. PowerPoint 文件 K_means -lesson4 explain kmeans cluster algorithm 1. C++ program name pointCluster 2. data file non 3. PowerPoint file K_means
K_means
- 用于实现K-means算法以至于解决这类问题-hello,we can realize the problem
k_means
- In statistics and machine learning, 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. It is similar to the expectation-max
k_means-matlab
- matlab语言实现的k-means算法，用于对数据对象进行分类。-matlab language of the k-means algorithm to classify the data objects.
k_means
- 使用k-means算法对样本空间中的未分类的点进行聚类。-K-means algorithm using the sample space clustering unclassified points.
k_means
- k means techniques de classification non supervisée (clustering) les plus utilisées. Etant donné un entier K, K-means partitionne les données en K groupes, ou "clusters", ou "classes" ne se chevauchant pas. Ce résultat est obtenu en positionnant
K_Means
- k均值聚类程序，本算法广泛用于模式识别、人工智能等项目，采用标准C编写而成。-kmeans program mainly used for mode recognition
em
- 有k_means和em算法,k_means算法用来减少结点数目-There k_means and em algorithms, Reduce the number of data points using the k-means algorithm
k-means
- 对BMP图像进行K_MEANS分类，效果较好，对初学者学习k_means分类算法很有帮助。-K_MEANS image classification of BMP, effect is better, K_MEANS classification algorithm for beginners helpful.
k_means
- 简单易懂的k-means聚类算法，可运行！有详细注释说明。-Straightforward k-means clustering algorithm, run! Detailed explanatory notes.
FCM_algorithm_based_K_means_clustering_algorithm_a
- 基于K_means算法和FCM算法的聚类研究-FCM algorithm based K_means clustering algorithm and study