搜索资源列表
Kmean
- K - MEANS CLUSTERING-K - MEANS CLUSTERING
kmeans-for-Special-topics
- Clustering project for Special topics
xhuhuajiance
- 用于雪花检测与去除是基于K-MEANS 算法的 在雪天进行检测-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
substractive_clustering
- subtractive clustering code
DIPKmeans
- Kmeans clustering algorithm
DBSCAN
- c#实现DBSCAN算法，属于基于密度的聚类算法-C# realize DBSCAN algorithm, belong to the clustering algorithm based on density
similarityCalculation
- 用c#方法描述了话题识别（话题跟踪与检测）的过程，主要是提取特征词、特征词词频计算、权重计算（tfidf方法），进行相似度计算，最后聚类-C# method describes the process of topic identification (topic tracking and detection), the word feature extraction, feature words word frequency calculation, weight to calculate me
julei
- 这是模式识别中的最大最小聚类算法，并且求出了类内距离、类间距离，中间步骤很详细的-This is the maximum and minimum clustering algorithm for pattern recognition, and calculated the within-class distance, the distance between the class, an intermediate step is detailed
cPPfcmsf
- VC++实现的fcm算法演示程序，FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最校FCM算法需要两个参数一个是聚类数目C，另一个是参数m。一般来讲C要远远小于聚类样本的总个数，同时要保证C>1。对于m，它是一个控制算法的柔性的参数，如果m过大，则聚类效果会很次，而如果m过小则算法会接近HCM聚类算法。-VC++ to achieve the fcm algorithm demo program, FCM algorithm i
kmeans
- 利用k-means算法进行聚类，K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最有分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。-Algorithm using k-means clustering, K-means algorithm Euclidean distance as a similarity measure, it is the pursuit of the vector V corresponding to a initial
HAC
- Hierarchical clustering in C#
kkmeanskcluster
- kmeans clustering c-kmeans clustering c++
meanshift-CPPcode
- meanshift的聚类方法，在图形图像研究中应用广泛，多用于分类不同类型的图像-meanshift clustering method, widely used in graphics research, many different types of images for classification
New-Revised-K-means
- New revised K-means聚类算法，为matlab函数，需要调用才能使用-New revised K-means clustering algorithm for matlab function, you need to call in order to use
dmAlgorithm
- 数据挖掘中利用VC++语言实现的聚类算法程序-The use of data mining clustering algorithm VC++ language program
KLD
- 計算兩個詞之間的KLdistance，主要是把詞分群用的程式，在使用之前要先建立好特徵矩陣，方可算出兩個詞之間的距離，內附件利特徵矩陣程式-Calculated KLdistance between two words, the word is mainly used for clustering program, first established good before using the feature matrix, only calculate the distance between
gerbil-1.0b-win-x64
- image segmentation with k-means algorithm and mean shift clustering and filtering
kmeans(cp2Bp2B)
- kmeans聚类算法实现图像分割， 基于K-MEAN的图像分割,方便实用，对于图像处理的研究生很有参考价值的！-kmeans clustering algorithm for image segmentation, image segmentation based on K-MEAN, convenient and practical, for image processing graduate of great reference value!
K-means_C
- K均值聚类算法，由C语言编写，可以自己调整迭代次数，超级好用-K-means clustering algorithm, the C language, you can adjust their iterations, super easy to use
toolkit_for_words_En
- 处理英文中的停词、同词干词，不改变文章结构。适用于文本分类、文本聚类、推荐预处理。-Processing of stop words in English, with the stem word, does not change the structure of the article. Suitable for text categorization, text clustering, recommend pretreatment.