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7下载:
JAVA实现文本聚类,用到TF/IDF权重,用余弦夹角计算文本相似度,用k-means进行数据聚类等数学和统计 知识。,JAVA realization of text clustering, using TF/IDF weight, calculated using cosine angle between the text of similarity, using k-means clustering for data such as mathematical and statistical
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用java语言实现文本聚类,包括聚类前的数据预处理:分词、降维、建立向量空间模型等,Implementation using java language text clustering, including clustering of the data pre-processing before: segmentation, dimensionality reduction, set up, such as Vector Space Model
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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,
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基于K均值聚类的图像分割算法
java源代码 十分好用 希望大家喜欢,K-means clustering-based image segmentation algorithm
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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
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java写的模糊c均值聚类算法和k均值聚类算法-fuzzy c means clustering algorithm and K means cluster in java
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CURE: AN EFFICIENT CLUSTERING ALGORITHM FOR LARGE DATABASES-CURE: AN EFFICIENT CLUSTERING ALGORITHM FOR LARGE DATABASES
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DBscan clustering algorithm source code in java
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weka全名是怀卡托智能分析环境(Waikato Environment for Knowledge Analysis),是一个公开的数据挖掘工作平台,集合了大量能承担数据挖掘任务的机器学习算法,包括对数据进行预处理,分类,回归、聚类、关联规则以及在新的交互式界面上的可视化-full name is weka intelligent analysis environment Waikato (Waikato Environment for Knowledge Analysis), is an o
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改进的k-means方法,对聚类的实例节能型加权 少数类多数类的函数-Improved k-means method for clustering a small number of examples of energy-saving type of weighted majority of types of function
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数据挖掘相关算法集合,有聚类、神经网络、遗传算法等的代码实现-Data mining correlation algorithm collection has clustering, neural networks, genetic algorithms, such as the code implementation
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Fuzzy C-means algorithm written in Java
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it is java code for k means clustering algorithm
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各种聚类算法代码
都很好用的
各种聚类算法代码-Various clustering algorithms are very useful source of a variety of clustering algorithm code
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k-means聚类算法的java代码实现-k-means clustering algorithm java code
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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
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This code is K-means clustering code written in java.
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K means clustering of data implemented for all kinds of data-K means clustering of data implemented for all kinds of data...
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Fuzzy C means clustering
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it is an clustering algorithm to make data cluster for semantic web services
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