搜索资源列表
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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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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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模式识别的聚类算法 包括欧氏(Euclidean)距离，绝对值距离，切式距离，明氏距离，马氏距离-Clustering algorithm of pattern recognition, including Euclidean (Euclidean) distance, absolute distance, the distance-cut, Ming' s distance, Mahalanobis distance
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DBscan clustering algorithm source code in java
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基于密度的聚类的实现，用JSP实现的，界面友好-Density-based clustering to achieve, using JSP to achieve, user-friendly
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利用java，神经网络在模拟聚类分析中的应用程序-The use of java, neural network clustering analysis in a simulated application
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数据挖掘,聚类分析,DBSCAN JAVA的实现,
-Data mining, clustering analysis, DBSCAN JAVA realization
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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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Java 编写的多种数据挖掘算法 包括聚类、分类、预处理等-Java to prepare a variety of data mining algorithms, including clustering, classification, preprocessing, etc.
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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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k-means聚类算法的java代码实现-k-means clustering algorithm java code
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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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基于密度的聚类算法 JAVA实现 能发现任何形状的聚类-JAVA-based density clustering algorithm can be found in any shape to achieve the clustering
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clustering iris data java
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it is an clustering algorithm to make data cluster for semantic web services
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