搜索资源列表
k-MeansJava
- k-Means算法Java实现 数据挖掘中经典的Kmeans算法设计与实现-k-Means Algorithm for Data Mining Java implementation of the classic algorithm design and implementation Kmeans
sujuwajue
- 数据挖掘考试准备的算法源码，包含Aporio算法，K均值算法，层次分类算法，内含有使用说明，经过考试和实验通过。-Examination of data mining algorithms to prepare the source, including Aporio algorithm, K-means algorithm, hierarchical classification algorithm, after the adoption of examination and experime
k
- k平均聚类所谓k均值聚类方法是一种无监督的学习算法，它能用已知类数的数据聚类和预测。-k-average clustter
k-means
- k-means算法实现WEB搜索，用模拟退火，对K-means聚类算法进行数据挖掘-k-means algorithm WEB search
K-MEANS
- 数据挖掘，K-means源码，数据集为iris-Data mining, K-means source code for the iris data set
1
- k均值算法，用matlab实现的，数据挖掘-k-means
K-Means
- 数据挖掘k均值聚类 vc++ 环境运行-data minning cluster k-method
PK-means
- K-means聚类算法，用于文件、数据的聚类分析-K-means clustering algorithm for document clustering analysis of the data
k-means-algorithm-
- 在matlab开发环境下用k均值算法实现数据的分类，以及得到数据的聚类中心- realizingthe data classification With k-means algorithm
k-means
- 数据挖掘，k类聚算法,C++实现的-k-means algorithm
K-Means
- K-Means算法matlab实现,使用自己生成的数据文本-K-Means Alogrithm
k-means
- 采用聚类方法进行分群的方法，包含两个matlab文件，一个是需在程序中给定数据，一个使用excel给出数据。针对风电场分群构建，也可以用于其他的聚类分群场合-Clustering method using clustering method matlab contains two files, one is required in the program given the data, a given data using excel. For wind farm constructed gro
k-means
- k-means分类测试，通过自己建造数据集测试分类方法使用效果-K- means classification test, by building their test data set classification method using effect
K-means
- 经典的K均值聚类，源码加利用三维高斯简单数据的实现对三类数据的聚类-Achieve the effect of classical K-means clustering, plus simple data
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
- 机器学习中的kmeans算法用西瓜数据集4.0作为数据进行测试-Machine learning algorithms with watermelon kmeans data set 4.0 as the data for testing
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
- 在里面的的是一些关于k-means的东西，用的mnist数据(I try the Mnits data and use K-means to doing the clustering)
K均值算法程序
- K均值聚类算法，实现将数据分类，分为两类聚类(K means clustering algorithm to achieve data classification, divided into two categories of clusters)
EWKM
- 针对于高维稀疏的子空间数据，并进行了加权熵处理(Aiming at the high-dimensional sparse subspace data, weighted entropy processing is carried out.)