搜索资源列表
K-NearestNeighbors
- DATA MINING k-MEANS USING vb IN A EXCEL FILE IT IS A MACRO BASED PROGRAM
K-Means
- 数据挖掘k均值聚类 vc++ 环境运行-data minning cluster k-method
gabork-means
- 该方法采用gabor提取纹理特征，最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
k_means_cluster
- k均值聚类算法 ，c语言实现 了基于均值的聚类分析，同时增加了多维向量分析功能，使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the convergence faster clustering.
k-means
- K近邻算法，对一段数据进行分类，word 说明文档-K nearest neighbor algorithm
k-meanscluster
- K-means聚类算法的VC实现，算法简单-K-means clustering algorithm to achieve VC algorithm is simple
FuzzyKmeanclustering
- code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
Kmeans
- K-Means的java程序算法实现，能够有效处理K-mean问题-the realization of the K-means algorithm in java
accord-kmeans-source
- K-Mean clustering source code
KMEANS
- k均值算法,C++文件，读入txt文件的方式实现-k means algorithm, C++ files, read txt file means to achieve
k-means1-jft-based
- this ia fft implemntation of clustering based on k means
k-meanssss
- 聚类算法中的经典k均值用c++实现的，测试结果还不错-Classical clustering algorithm k means in c++ implementation with the test results is not bad
k
- k均值聚类算法源码，比较经典，无解压密码-k means clustering algorithm source code, more classic, without extracting passwords
CPPK-means
- K均值聚类首先需要确定聚成几类，然后按照迭代的方法，计算类的重心，然后按照向量和类重心的聚类重新分类，反复重复，直到分类稳定或者重心稳定。-K means clustering first need to identify clustered into several categories, and then follow the iterative method to calculate the focus of the class, and then follow the center of
IsoDataaK-means
- 是用VS6.0编写的程序。实现了模式识别中的ISODATA算法和K均值算法。内附有测试数据。-made by VS6.0 C++ Isodata K-means
kmeans-image-segmentation
- K-means算法是一种动态聚类方法，这种方法先选择若干样本作为聚类的中心，在按某种聚类准则（通常采用最小距离原则）使各种样本向各个中心积聚，从而得到初始的分类，然后，判断分类的合理性，如果不合理，就修改分类，如此反复的修改聚类的迭代运算，直到合理为止。-K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the clu
code
- K mean algorithms for image implement in java
e4k-means-althogrim
- 基于K—Means的中文文本聚类算法的研究和实现。中文文本聚类的主要技术，特征选择，共享最近邻的K-Means的改进算法。基于k-Means的实现和实验。-Based on the Chinese version of K-Means clustering algorithm and implementation. The main technology of Chinese Text Clustering, feature selection, shared nearest neighbor
textcluster
- 经典的K-means聚类算法,其中用到了tf-idf权值计算方法。-Classic K-means clustering algorithm，Among them the use of the tf-idf right value calculation method.
kmean
- 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit