搜索资源列表
k-mean
- k-means聚类算法的java实现描述！有详尽的说明，对初学者非常有用！
kShortestPaths.rar
- k-shortest算法实现，采用java语言，能根据不同的拓扑找到k条最短路径。非常经典。,k-shortest algorithm using java language, can be found according to different topological k be the shortest path. Very classic.
k-meansjava.rar
- 用java语言实现的经典聚类算法k-means，聚类与分类不同，它是无监督的过程，,java language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
kmeansjava
- 利用java实现的k-均值算法，k-Mean 分群法是一种分割式分群方法，其主要目标是要在大量高纬的资料点中找出 具有代表性的资料点；这些资料点可以称为群中心，代表点；然后再根据这些群中心，进行后续的处理，可用于数据挖掘中的聚类分析-java implementation using k-means algorithm, k-Mean grouping method is a fragmented grouping method, whose main goal is to a large nu
kmeans
- 用java实现的k means算法，搞过数据挖掘的人应该都知道的~-k means algorithm implement in java, the basic method of clustering in data mining
k-means
- java实现的k-means算法，具有可视化界面，可以作为数据挖掘的作业处理。-java implementation of the k-means algorithm with a visual interface that can handle a data mining operation.
k-means(java)
- k-means算法是基于划分的聚类方法，本算法简单，便于理解，以可视化界面的形式将结果展示出来。-k-means clustering algorithm is based on the division method, this algorithm is simple and easy to understand visual interface to the form of the results.
gaknn2008-12-08
- 本算法是实现基于kNN的基因遗传算法，是对kNN算法的改进，具有更好的分类效果。-gaknn[Genetic Algorithm Optimized k Nearest Neighbor Classification framework] is a frameowork for kNN optimization with a genetic algorithm.
k-means
- k_means（java）算法的实现,有界面，灵活性强，交互性强。-k_means (java) algorithm, there are interfaces, flexibility, and strong interaction.
83390049kmeans_clustering
- k-means聚类算法的java代码实现-k-means clustering algorithm java code
TriTrain
- 利用kDD1999数据集进行k-means算法的实现-Mathimatics-Numerical algorithms
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.
k-means-java
- java实现的k-means算法里面的解释很详细，只要运行了就知道-java implementation of k-means algorithm is explained in great detail inside, just run the know
k-means
- 数据挖掘中的k-均值聚类算法，java语言实现。 可直接编译运行-Data Mining k-means clustering algorithm, java language.
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
k-means
- k-means算法的java实现，自动聚类算法。是基于距离来进行聚类-k-means algorithm to achieve the java automatic clustering algorithm. Based on the distance to the cluster
kmeans
- kmeans算法的java实现，搬运，大家可以参考一下(kmeans algorithm java implementation, handling, we can refer to)
k-means
- kmeans聚类算法的java实现方法，比较简洁。(java implementation of kmeans clustering algorithm)
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
20170110_kmeans
- 在花卉数据集上，用java实现的简单k-means算法。(In flower dataset, a simple k-means algorithm is implemented by java.)