搜索资源列表
CLUSTER_ISODATA
- 本程序主要实现ISODATA聚类算法，可以动态的调整分割的期望份数，效果有了很好的改善-The main achievement of this procedure ISODATA clustering algorithm, can dynamically adjust the partition of the expectations of the shares, the effect has been very good improvement
ClusterProtocols
- 分析了无线传感器网络分簇路由机制,着重从簇头的产生、簇的形成和簇的路由角度系统地描述了当前典型的分簇路由算法,并比较和分析了这些算法的特点和适用情况.最后结合该领域当前研究现状,指出分簇路由算法未来的研究重点.-Analysis of wireless sensor network clustering routing mechanisms, focusing on the selection of cluster head, cluster formation and cluster rout
PatternRecongnition
- 图像模式识别聚类分析、模糊聚类、遗传算法聚类-Cluster analysis of image pattern recognition, fuzzy clustering, genetic algorithm clustering
extract_document
- 这是一个提取 Reuter-21578 的程序, 用做自然语言处理, 文本分类聚类,和信息检索的测试集!-This is an extract of the Reuter-21578 procedure, used for natural language processing, text classification clustering, and information retrieval test collection!
ISODATA
- 一个简单的isodata动态聚类算法isodata，最后可以显示出迭代的结果，包括中心点，方差，样本归类等-A simple ISODATA dynamic clustering algorithm isodata, the last iteration can show results, including the center, variance, sample classification, etc.
kmeans
- 聚类算法kmeans，比较简单的聚类算法，通过欧几里德距离确定聚类的标准，对二维的点进行聚类-Clustering algorithm kmeans, relatively simple clustering algorithm, through the Euclidean distance to determine the standard clustering of the points of two-dimensional clustering
Language_model_learning_in_English
- state of art language modeling methods: An Empirical Study of Smoothing Techniques for Language Modeling.pdf BLEU, a Method for Automatic Evaluation of Machine Translation.pdf Class-based n-gram models of natural language.pdf Distributed Lang
rsvd
- 基于GM算法和QR分解实现的稳健奇异值分解算法，通过该算法可以获取一个数居阵的稳健方差－协方差阵。在该稳健方差－协方差阵上可以进行诸如，稳健主成份分解、稳健聚类、稳健因子分析等操作。-GM based on QR decomposition algorithm and the realization of the stability of singular value decomposition algorithm, the algorithm can be accessed through a
RBFjulei
- 这是一个用RBF神经网络实现的一个聚类算法，希望能够有用-This is a RBF neural network using a clustering algorithm to achieve the hope of useful
ISODATA
- ISODATA是模式识别中重要的聚类算法 有着极为广泛的应用-ISODATA is an important pattern recognition clustering algorithm has a very wide range of applications
weka-3-4-12
- weka全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一个公开的数据挖掘工作平台，集合了大量能承担数据挖掘任务的机器学习算法，包括对数据进行预处理，分类，回归、聚类、关联规则以及在新的交互式界面上的可视化-full name is weka intelligent analysis environment Waikato (Waikato Environment for Knowledge Analysis), is an o
program
- 其中有五个程序，详细地说明了五种基于模糊数据的模糊聚类的方法与实现步骤。其中五种程序分别来自五个权威外文论文-Among them, five procedures, detailed descr iption of five based on fuzzy data fuzzy clustering methods and implementation steps. Five procedures in which the authority of a foreign language from
julei
- 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
kmeans_clustering
- kmeans clustering in matlab
BIRCH
- 数据挖掘经典的hierarchial clustering algorithm-Data Mining classical hierarchial clustering algorithm
NcutClustering_7
- Data Clustering with Normalized Cuts
GOFuzzyv1.0
- 数据挖掘，多种聚类算法.FCM, HCM, SVM, 等各种柔性聚类方法。-Data mining, a variety of clustering algorithms. FCM, HCM, SVM, such as flexible clustering method.
Kmean
- 自行implement的k-mean(含fuzzy c mean)，可以直接於vc++針對大量數據進行分群的動作-Implement on its own the k-mean (with fuzzy c mean), can be directly in vc++ For clustering large amount of data movement
ClusterBasics-V1.0
- 各类聚类算法程序包，包含各种经典的聚类算法，例如：k-mean聚类等-Various types of clustering algorithm package, contains a variety of classic clustering algorithms, such as: k-mean clustering, etc.
FuzzyClusteringToolbox
- 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separatio