搜索资源列表
gmeans
- gmeans-- Clustering with first variation and splitting 文本聚类算法Gmeans ,使用了3种相似度函数,cosine,euclidean ,KL.文本数据使用的是稀疏矩阵形式. -gmeans clustering with first variation and splitting Gmeans,a text clustering algorithm, uses 3 functions,cosine,euclidean and
Incremental_Document_Clustering
- 一个增量文本聚类的算法。 参考文献： Wai-chiu Wong, Ada Wai-chee Fu, Incremental Document Clustering for Web Page Classification. -an incremental version of the clustering algorithm. References : Wai-chiu Wong, Ada Wai-CHEE Fu, Incremental Document Clustering for
featureselectionbasedongeneticalgorithm
- 利用遗传算法进行文本聚类的特征选择.把一种特征组合看作一个染色体，对其进行二进制编码，引入文本集密度作为适应度函数进行特征个体适应度的评价.
kmeans
- kmeans文本聚类算法的简单实现，是用JAVA实现的-kmeans a simple realization of the text clustering algorithm is implemented using JAVA
pj
- 一种基于语义内积空间模型的文本聚类算法,这种算法有很好的效率，拿出来和大家分享下-A semantic-based model of inner product space the text clustering algorithm, this algorithm has good efficiency, and to share out under the
program
- 基于无监督学习的谱聚类算法的文本的聚类分类。-Unsupervised Learning Based on spectral clustering algorithm for text clustering classification.
MyCluster
- 聚类算法中的k均值算法，里面已经包含一个文本聚类的实验。-Clustering algorithm k means algorithm, which already contains a text clustering experiments.
order
- 文本聚类算法的好东西文 本聚类算法的好东西-Text clustering algorithm for text clustering algorithm good stuff good stuff good stuff text clustering algorithm
shotdetect
- 文本聚类算法的好东西文本聚类算法的好东西-Text clustering algorithm for text clustering algorithm good things good things
IntServer
- 复杂网络聚类算法进行文本分析，能够进行关键字的提取和分类功能。-Complex network clustering algorithm for text analysis, to carry out keyword extraction and classification capabilities.
FCM
- 基于遗传FCM算法的文本聚类,FCM算法运用到文本中-Based on genetic FCM clustering algorithm, FCM algorithm is applied to the text
AdvanceEditDistance
- 编辑距离算法的详尽实现，是文本聚类的很好解决途径，解决了经典编辑距离的弊端，在vc6.0下实现，能处理大规模文本，速度快，效率高。-Edit distance algorithm detailed implementation is a good text clustering solutions to address the shortcomings of the classical edit distance, in vc6.0 to achieve, can handle large-sc
AP-Cluster
- AP聚类算法的C++代码实现，其中数据是文本读入iris数据，P值选取欧式矩阵最小值。显示结果为聚类后结果-AP clustering algorithm C++ code, in which data is read into the text iris data, P values selected European matrix minimum. Showing results clustering results after
DataSets
- 文本聚类用到的数据集，国外人提供的用于聚类算法-dataset,EMforSoftKmeans dataset Binary_1 Binary_2
maxent-master
- 最大熵模型算法，用于统计学习，文本分类，文本聚类研究-The maximum entropy model algorithm for statistical learning, text classification, text clustering research
Text-clustering
- 机器学习中文本聚类算法，里面有5个文件，包含Python实现代码和测试数据。-The clustering algorithm machine learning Chinese, there are five files that contain Python implementation code and test data.