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属性相似度的云分类器
- matlab环境下，基于云模型的分类器，包括基于例子群优化的云分类器，和属性相似度云分类器。-Matlab environment, based on cloud model for the classification, including examples Swarm Optimization Based on the cloud classifier, and attribute similarity cloud classifier.
k_algorithm
- K-均值算法的c语言实现，他是一种基于样本间相似性度量的间接聚类方法。-K-means is a VQ method based on the similarity of the samples. This is a C language source code for K-means algorithm.
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
similarity
- 基于平稳双正交小波变换实现图象梯度计算,本人用MATLAB编了一个,供大家参考-biorthogonal wavelet transform image gradient calculation, I used a series MATLAB, for your reference
TestJavaSKNN
- 一个基于网格和最近邻居的聚类算法 Similarity(x, y) = size ( SKNN(x) SKNN(y) )，while Link(x, y)=1-a Grid-based, and the nearest neighbor clustering algorithm similarity (x, y) = size (SKNN (x) SKNN (y)), while Link (x, y) = 1
DoubleLangAly
- 珍藏论文：面向双语句对检索的汉语句子相似度计算Chinese Sentences Similarity
similarity
- 这是一个识别两句话之间的相似度的程序，输入是两句中文文字，输出是得分（满分100）
Thebiggestsimilarityfortsp
- MATHEMATICA 软件运用 The biggest similarity for tsp
Edit Distance算法
- 对模式识别中的字符串模板匹配问题进行的研究，设计了对任意字符串进行匹配和字符串相似度，即列文斯顿距离进行计算的算法-right pattern recognition template matching string for the research and design of the arbitrary strings and string matching similarity, Ken Livingstone distance calculation algorithm
UB
- 改程序实现UB算法，对Web日志文件进行分析，产生相似度矩阵-reform program UB algorithm, the Web log file analysis, the similarity matrix produced
人脸特征定位
- 人脸特征定位，实现人脸相似度计算，二值化，边缘提取。解压密码：123-positioning facial features, facial similarity to achieve, the two values, edge extraction. Extracting Password : 123
naiveBayesClassify
- 机器学习算法，朴素贝叶斯分类器，常用作文本分类，或者用在本体匹配算法中用作相似度的计算-Machine learning algorithm, naive bayes classifier, commonly used ZuoWenBen classification, or use in ontology matching algorithm used in the calculation of similarity degree
face_recognition_LTPPTBSM
- 基于local ternary pattern feature 和 distance transform-based similarity metric 相结合的人脸方法识别技术研究-combining the local ternary pattern feature and distance transform-based similarity metric method for robust face recognition.
DM4
- 执行流程： 1. 用户输入参数：K的选择，训练数据，测试数据的路径； 2. 读取训练数据集和测试数据集文件，用ArffFileReader类读取并组织起InstanceSet数据结构； 3. 利用上面的相似度量标准，对每一个测试集中的Instance，计算与其最相似的K个训练集中的Instance，通过投票进行分类，将分类结果存储经Instance的成员变量targetGuess中； 4. 对分类结果进行度量，包括分类正确率，各种类别实例的Precision，Recall；Con
RepeatedForms
- 根据相似度去重，把文本很相似的删除掉，基于VSM的算法的实现。-According to the similarity to heavy, very similar to the text removed, the algorithm based on VSM realize.
kcluster
- c语言的k均值聚类算法。给定类的个数K，将N个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小的算法。-c language, k-means clustering algorithm. Given the number of categories K, will be assigned to N objects of class K to make class the similarities between objects the most, while the cat
selfAffinity
- AP是在数据点的相似度矩阵的基础上进行聚类.对于规模很大的数据集,AP算法是一种快速、有效的聚类方法,这是其他传统的聚类算法所不能及的,-A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP
Ch06
- 6.1 简介 6.2 资料的表示 6.3 相似度的计算与测量 6.4 分群法的采用 6.5 分割式分群法 6.6 非分割式分群法 6.7 分群法在大型资料集合之设计 6.8 评估分群的结果-6.1 Introduction 6.2 The data indicated that 6.3 Calculation and Measurement of similarity grouping law of 6.4 using 6.5 cut 6.6 clustering m
fisher-and-Fuzzy-similarity
- 通过matlab语言实现Fisher分类和基于核Fisher分类的设计与实现研究和模糊相似关系直接用于分类，实现结果良好，可供大家使用，互相学习。-Fisher classifier matlab language and kernel Fisher classification-based design and realization of fuzzy similarity relations for the classification, to achieve good results fo
semantic-similarity
- 对语言的语义相似度进行计算，给出两个词的相似值，相似值的范围是1到5之间，实现是用java实现-Language for semantic similarity calculation, give similar values of the two words, similar to the range of values is between 1-5, implementation is using java