搜索资源列表
KMeans
- C++ 实现K-means，机器学习部分,附带测试数据-C++ realize K-means, Machine Learning
mimo
- application developed in Java is used to classify data by the method unsupervised kmeans
kmeans
- k-means 算法用java实现对二维点集合的分类 输入相应的类别数 选择聚类中心-k-means algorithm to classify the input using java-dimensional set of points corresponding to the number of categories to select the cluster centers
kmeans
- 使用数据挖掘中的k-means算法实现文本的分类-Using data mining k-means algorithm text classification
kmeans
- K均值程序，能正常运行，是聚类算法的一个典型示例-K-means the program can run normally, is a typical example of clustering algorithm
textcluster
- 基于KMeans的文本聚类算法，支持文本输入，简单易懂-KMeans clustering algorithm based on text, support for text input, easy to understand
Kmeans-image-segmentation
- 一个 k-means 分割彩色图像，很不错，试验了可以用，相当不错- The initial k-means algorithm for image segmentation, it is suitable for beginners
color_kmeans
- 使用opencv kmeans 进行颜色聚类-opencv kmeans
Kmeans_VS_EM_OnLaborDataSet
- 使用著名的数据挖掘和机器学习软件WEKA，在标准数据集labor上，比较Kmeans与EM算法。-Use well-known data mining and machine learning software WEKA, on standard data sets labor, relatively Kmeans with EM algorithm.
sift-kmeans
- 这是基于sift代码。可用于图像识别、图像搜索等，非常实用！极力推荐！-This is based sift code. Can be used for image recognition, image search, etc., very useful! Highly recommended!
kmeans
- 图像处理中的K-means算法MATLAB代码，里面有注释。-Image Processing K-means algorithm based on MATLAB code, there are comments.
kMeansProjectiveClustering
- Kmeans in opencv to cluster image.
KmeansCluster
- 比较方便的KMEANS聚类分析算法MATLAB代码，KMEAN-CLUSTER-Cluster analysis KMEANS better MATLAB code, KMEANS-CLUSTER
clustering-methods
- 分别用Kmeans FCM和dbscan算法进行聚类比较，内附UCI数据，可以进行验证-Respectively Kmeans FCM clustering algorithm and compare dbscan, enclosing UCI data that can be verified
Ant-clustering-algorithm-with-K-harmonic-means-cl
- This paper tell about hybrid ant colony- kmeans algorithms. Clustered by ant colony is used for initial cluster for kmean algorithm.
kmeansCluster
- 用Java实现kmeans(画布上画点聚类)-Java implementation kmeans (on canvas painting point clustering)
Kmeans
- 自适应K-均值聚类算法,能够随着聚簇数目的变化而自动调整聚类数，以最合适的聚簇数目来进行数据分类。-Adaptive K-means clustering algorithm, the number can be clustered with the changes in the number of clusters is automatically adjusted to the most appropriate number for clustered data classification
DSP
- Speech recogntion using MFCC and Kmeans
KmeansMatching
- It is matching algrithm using kmeans. Kmeans is a classification method.-It is matching algrithm using kmeans. Kmeans is a classification method.
kmeans_code.tar
- matlab kmeans code for clustering of data.this can be used for data mining applications