搜索资源列表
kmeans
- java k均值源码，实现了k-means的算法，并给出界面显示。实例中通过二维空间中的点进行聚类。-java k-means algorithm, display the cluster result on the two demension.
kmeandm
- kmeans 聚类算法 实现对txt文件中的点内容的聚类-kmeans clustering algorithm
SimpleKMeans
- kmeans.java 代码。用于数据挖掘中的聚类算法。这个事weka中开源的代码。-failed to translate
java-kmeans
- 用java实现的聚类算法kmeans，可以用eclipse直接运行。-Clustering algorithm implemented with java
SimpleKMeans
- 数据挖掘中经典的k means聚类算法实现-kmeans cluster
K-means
- kmeans算法， K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果-kmeans algorithm, K-means algorithm is the most classic divide-based clustering method is one of the top ten classical data mi
KDTree2Kmeans
- 基于kdtree的kmeans聚类算法，在选择最近邻中心点时使用kdtree的检索功能，提高了检索效率，特别是当k较大时，效果明显提升-kmeans clustering algorithm based on kdtree，used in selecting the center point of the nearest neighbor the kdtree retrieval function, and improve the retrieval efficiency has improve
java实现Kmeans
- 机器学习中的聚类算法Kmeans用java实现，本资源提供完整详细代码，无bug，可运行。
java_kmeans
- java实现kmeans算法，可以处理任意维度的向量。并将聚类结果写入文本。-The kmeans algorithm java, and can handle any dimension vector. And write text clustering results.
Kmeans
- 使用Java实现K-means（C均值）聚类算法-Using Java to achieve K-means (C mean) clustering algorithm
Kmeans
- K-均值聚类算法，是一种随机选取数个数据中心进行点聚类处理进而生成分类的数据挖掘算法，具有很好的学习功能。-K-means clustering algorithm is a randomly selected number of data center point clustering process thereby generating classification data mining algorithms, with good learning function.
Kmeans
- k均值聚类算法代码, k均值聚类算法代码-k-means clustering algorithm code, k-means clustering algorithm code
kmeans
- 简单的k_means聚类算法,用java语言编写实现，扩展性不强-simple kmeans clustering method
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
KmeanProject
- 利用k均值聚类算法对词进行聚类,基于最大最小原则初始化质心-cluster word by kmeans
Kmeans-java
- Kmeans算法的java实现，能实现大数据集的Kmeans聚类算法的实现-Achieve Kmeans algorithm to achieve the java can achieve large datasets Kmeans clustering algorithm
KMeans
- K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。-K-means clustering algorithm is hard, is a typical prototype-based clustering method on behalf of the objective function, it is a method of data points to a certain di
Kmeans
- 用java语言实现的kmeans算法，将n个点分成k个聚类。-This is the code about kmeans.
python-cure-implementation-master
- Python实现的cure聚类算法和K-means算法(python-cure-Kmeans-implementation)
Kmeans
- 算法思想：提取文档的TF/IDF权重，然后用余弦定理计算两个多维向量的距离来计算两篇文档的相似度，用标准的k-means算法就可以实现文本聚类。源码为java实现(Algorithm idea: extract the TF/IDF weight of the document, then calculate the distance between two multidimensional vectors by cosine theorem, calculate the similarity