搜索资源列表
epc2d-update
- 一个投影聚类算法及其数据集生成源码。 参考文献: Eric K.K. Ng, A. Fu : Efficient algorithm for Projected Clustering,-a clustering algorithm and its projection data sets generated source. References : Eric K. K. Ng, A. Fu : Projected Efficient algorithm for clustering,
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- 源码是有关模式识别与图像处理的,以及人工智能中的模糊算法,聚类算法 。-source of the pattern recognition and image processing, artificial intelligence and fuzzy algorithm, clustering algorithms.
rhrth
- 源码是有关模式识别与图像处理的,以及人工智能中的模糊算法,聚类算法 。-source of the pattern recognition and image processing, artificial intelligence and fuzzy algorithm, clustering algorithms.
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- 源码是有关模式识别与图像处理的,以及人工智能中的模糊算法,聚类算法 。-source of the pattern recognition and image processing, artificial intelligence and fuzzy algorithm, clustering algorithms.
cluster06
- 聚类算法源码,基于Visual C++实现 用于图像处理等-clustering algorithm source code, based on the Visual C realization for image processing
kmeans
- k-means源码(K均值聚类算法源码)
matlab
- VRP问题的蚁群算法源码,很经典,很实用-Ant colony algorithm VRP source problem, it is a classic, it is practical
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.
ClusteringStatic
- 聚类分析算法,k均值聚类分析算法c++源码-clustering statics
k
- k均值聚类算法源码,比较经典,无解压密码-k means clustering algorithm source code, more classic, without extracting passwords
Filtering-Implementations
- 动态模糊聚类算法源码程序,对ANN算法进行了实现。-Dynamic fuzzy clustering algorithm source program, the realization of ANN algorithm.
K-means
- K-means聚类算法源码,C代码实现。个人已经试验过,没有问题 可以放心使用-K-means clustering algorithm source code, C code. Individuals have been tested, and no problem can be rest assured that the use of
MATLAB-fuzzy-K-means
- matlab模糊k-means聚类算法源码,很实用,略微改造即可使用-matlab fuzzy k-means clustering algorithm source code, very practical, you can use a little renovation
fuzzy_k_means
- MATLAB 数据挖掘算法,fuzzy-K-means聚类算法源-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source
cluster_by_science
- 2014年science上的新聚类算法源码和数据集-cluster algorithm by science 2014 and the datasets
AP_code
- Affinity Propagation聚类算法源码(Matlab)。內附两个测试用例(ToyProblem.mat,FaceClusteringSimilarities.zip)-Affinity Propagation Clustering algorithm source code and two dataset for testing
CFSFDP-matlab
- 密度峰值聚类算法源码+测试数据(人工+UCI)(Source Code and datasets of CFSFDP 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
clustering by find od density peaks
- science上密度峰值聚类算法源码,包括matlab源码和s1数据集(Source code for peak density clustering algorithm on Science)
CureDemo
- 实现的cure聚类的demo。算法在开始时,每个点都是一个簇,然后将距离最近的簇结合,一直到簇的个数为要求的K。它是一种分裂的层次聚类。算法分为以下6步: 1)从源数据对象中抽取一个随机样本S。 2)将样本S分割为一组划分。 3)对划分局部的聚类。 4)通过随机取样提出孤立点。如果一个簇增长得太慢,就去掉它。 5)对局部的簇进行聚类。 6)用相应的簇标签标记数据。(The implementation of the cure clustering of the