搜索资源列表
Kmeans-java
- K均值算法java实现，最简单的聚类算法，适合高斯聚类-K-means algorithm to achieve the java
text-clustering
- 文本聚类及主题挖掘相关论文合集，包括了kmeans，层次聚类，ap聚类等等相关方法-Text clustering and topic mining related collection of papers
kmeans
- Nous avons effectué les tests en tenant compte des paramètres utilisés afin de mettre en évidence leur influence. Sur les deux images testées, nous avons constaté que l’espace colorimétrique utilisé pour calculer la différence colorimétri
Matlab_analyse_traffic_jam_status
- 根据深圳市出租车GPS数据所提供的信息，针对交通出行数据的空间分布特征，选取了4月18号这天的全天数据出租车载客后的行驶数据， 利用mtalab对数据的处理，筛选出出租车的起始点及拥堵的时段的行驶数据并通过kmeans聚类分析设定拥堵的标准，得到对于出租车在路段上的车速在小于2.15公里/小时的时候可以认为非常拥堵，拥堵的时段 5:00-7:00,12:00-14:00,19:00-21:00，非常拥堵的时间段为5:00-7:00，19:00-21:00。-analyse traffic jam
kmeans_fast_Color
- This code uses MATLAB s Internal Functions and Memory Preallocations to apply a Fast Implementation of kmeans algorithm. This is a efficient code for clustering a gray or Color image or it can be used for clustering a Multidimensional Array. Com
Ant-clustering-algorithm-with-K-harmonic-means-cl
- This paper tell about hybrid ant colony- kmeans algorithms. Clustered by ant colony is used for initial cluster for kmean algorithm.
KMeansWiithVariance
- KMeans with Variance
PSO-Clustering
- I ve reviewd 6 paper about PSO with Kmeans Clustring and abstracted them in a ppt file.
kmeans
- code k-means in Matlab for Manuel
FuzzyC
- Fuzzy clustering methods including subtractive and Fuzzy C-means and comparing them to Kmeans clustering method
KmeansAlgorithm
- it s code for kmeans algorithm in pattern recognition using java
enhanced-kmeans.tar
- Enhancing the k-means clustering algorithm by using a O(n logn) heuristic method for finding better initial centroids
Orthogonal-Teaching-Learning-Based-Optimization.z
- - document for orthogonal TLBO. teaching learning based optimization. we have attempted to use it with kmeans in hadoop.
kMeansProjClustering
- project of kmeans clustring
EliKMeans.tar
- kmeans artificial inteligence able to create clusters data received files of iris data base (flowers)-kmeans artificial inteligence able to create clusters data received files of iris data base (flowers)
randomized-dimensionality-reduction-for-k-means.r
- Randomized Dimensionality Reduction for k-means Clustering This paper makes further progress towards a better understanding of dimensionality reduction for kmeans clustering. Namely, we present the first provably accurate feature selection met
K-均值聚类
- 简单的机器学习入门编程，Kmeans聚类(Simple machine learning introductory programming, Kmeans clustering)