搜索资源列表
K-Means
- 这是K-neans动态聚类算法的源程序,是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
K-Means.Algorithm
- 算法,k-mean搜索方法,执行起来很快,推荐。-Algorithm, k-mean search methods, to implement quickly, recommended.
textclusterr
- 文档分类,用K均值,加入了K的选择算法,不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering
Kmeans
- K-means聚类算法的java实现。一个类,可以直接调用。-K-means clustering algorithm implemented by java.you can use it directly in your coad.
kmeans
- k-means算法是文本聚类经典算法,也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java.
k_means
- 这是数据挖掘中的k均值聚类算法,用java语言编写的,对于搞聚类的人士很有帮助-This is the data mining k-means clustering algorithm, using java language, for persons engaged in clustering helpful
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.)
Kmeans_java
- 使用Java语言实现了简单的K-Means聚类算法(A simple K-Means clustering algorithm is implemented in Java language.)