搜索资源列表
kmeans
- algorithm for k means clustering in matlab
Kmeans
- K-means clustering implementation document
kmeans
- 用VC或Java实现K-means聚类算法，分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验），提交实验报告与源代码。-K-means clustering algorithm for algorithm termination conditions, with a picture (their choice) as a data set to compare the running
clustring
- ppt of clustering with fcm and kmeans and other methos of clustering.
kmeans_report
- 数据挖掘kmeans图像聚类实验报告 用 VC 或 Java 实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验） 提交实验报告与源代码。 -Data mining to achieve the k-means clustering algorithm the kmeans image clustering experiment report wit
text-clustering
- 文本聚类及主题挖掘相关论文合集，包括了kmeans，层次聚类，ap聚类等等相关方法-Text clustering and topic mining related collection of papers
kmeans_fast_Color
- This code uses MATLAB s Internal Functions and Memory Preallocations to apply a Fast Implementation of kmeans algorithm. This is a efficient code for clustering a gray or Color image or it can be used for clustering a Multidimensional Array. Com
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.
PSO-Clustering
- I ve reviewd 6 paper about PSO with Kmeans Clustring and abstracted them in a ppt file.
FuzzyC
- Fuzzy clustering methods including subtractive and Fuzzy C-means and comparing them to Kmeans clustering method
enhanced-kmeans.tar
- Enhancing the k-means clustering algorithm by using a O(n logn) heuristic method for finding better initial centroids
kmeans
- KMEANS CLUSTERING + MATLAB CODE
kMeans
- Kmeans聚类算法，采用Opencv开源机器视觉库-Kmeans clustering algorithm, using Opencv computer Vision library
randomized-dimensionality-reduction-for-k-means.r
- Randomized Dimensionality Reduction for k-means Clustering This paper makes further progress towards a better understanding of dimensionality reduction for kmeans clustering. Namely, we present the first provably accurate feature selection met
K-均值聚类
- 简单的机器学习入门编程，Kmeans聚类(Simple machine learning introductory programming, Kmeans clustering)