搜索资源列表
k-means
- k均值聚类算法，模式识别大作业，适用于数据挖掘学习-k-means clustering algorithm, pattern recognition big job learning for data mining
K-means-for-K=3
- 模式识别，K均值算法，取K=3。使用VC++6.0 编译完成通过。-K means for K=3
K-means-matlab
- K-means聚类算法的MATLAB版本，不仅给出了代码，还包括在图像分类中的具体应用-K-means cluster algorithm in the version of matlab
k-Means
- THE K-MEANS IN THE DATAMAINING IN THE MATLAB
k-means.py
- k－means算法的python直接通过word2vec生成的向量空间数据放入，可直接获得所需要的聚类结果。可以自己设定输出的类别数目。-K-means algorithm directly into the vector space data generated by word2vec, you can directly obtain the desired clustering results. You can set the number of output categories.
k-means
- 利用概率论知识进行聚类中心的选择，结果具有可解释性，效果非常好。-improve k-means
K-Means-Dynamic-clustering
- K-means 动态聚类算法（Dynamic clustering algorithm）源程序-Dynamic clustering algorithm of K-means
kmeans
- Scala实现多个特征量的k-means算法(K-means algorithm for implementing multiple feature quantities in Scala)
kmeans-master
- K-means clustering algorithm
pres
- 三种分类器：决策树分类器，k-NN分类器和k-means分类器的运行时间以及运行准确率的比较。(Three kinds of classifiers: decision tree classifier, k-NN classifier and K-means classifier running time and accuracy comparison.)
K_Means_Cluster
- K-means 算法(K-means)
kMeans
- K-means 的python实现，源码，机器学习实战的第10章(Python implementation of K-means)
kmeansimg
- k-means图像聚类，可用灰度图像处理(K-means image clustering)
9-2--K-Means.ppt
- Teach you how to use k-means
k-means-master
- just a silly k-means implementation in MATLAB. 简单的用MATLAB实现的kmeans算法(just a silly k-means implementation in MATLAB.)
kmedia
- 利用所编的程序，完美的实现经典的K-means聚类算法分析。(Using the program compiled, the classic K-means clustering algorithm is realized perfectly.)
Kmeans
- python实现的k-means聚类算法(k-means clustering algorithm implemented by python)
IDL for k_means
- 自己用IDL编写的k-means影像分类程序，已调试，可以直接使用。(Using IDL to write K-means image classification program, has been debugged, can be used directly.)
IDS
- 利用增强型K-means聚类算法实现入侵检测系统模型的设计(Design of Intrusion Detection System Model Using Enhanced K-means Clustering Algorithms)
c+=
- k-means c++, 聚类算法-含代码说明。聚类（Cluster）分析是由若干模式（Pattern）组成的，通常，模式是一个度量（Measurement）的向量，或者是多维空间中的一个点。(k-means c++,Partitioning Methods,Hierarchical Methods,density-based methods,grid-based methods,Model-Based Methods)