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[Compress-Decompress algrithmsString-Similarity-0.02.tar

Description: 此程序是关于字符串 模糊相似度的计算程序(C语言)-this program is a string of vague similarity calculation procedures (C language)
Platform: | Size: 13978 | Author: youyou | Hits:

[Other resourceImage-similarity-using-mutual-information-of-regio

Description: 基于互信息的图像相似性测量。Image similarity using mutual information of regions .pdf
Platform: | Size: 164876 | Author: mountainspring | Hits:

[Otherdemo

Description: 文本相似度比较```很好的`-text similarity comparison `` `good`
Platform: | Size: 80896 | Author: 李山 | Hits:

[Internet-Network基于相似度聚类分析方法的异常ids的模型及实现

Description: 基于相似度聚类分析方法的异常入侵检测系统的模型及实现-Similarity-based clustering analysis of abnormal Intrusion Detection System Model and Implementation
Platform: | Size: 161792 | Author: 赵艳 | Hits:

[matlabMyKmeans

Description: 实现聚类K均值算法: K均值算法: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。 缺点:产生类的大小相差不会很大,对于脏数据很敏感。 改进的算法:k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用,这样的一个medoid就标识了这个类。步骤: 1,任意选取K个对象作为medoids(O1,O2,…Oi…Ok)。 以下是循环的: 2,将余下的对象分到各个类中去(根据与medoid最相近的原则); 3,对于每个类(Oi)中,顺序选取一个Or,计算用Or代替Oi后的消耗—E(Or)。选择E最小的那个Or来代替Oi。这样K个medoids就改变了,下面就再转到2。 4,这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感,但计算量显然要比K均值要大,一般只适合小数据量。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or)
Platform: | Size: 1024 | Author: 阿兜 | Hits:

[Other文件相似度比较器

Description: 文件相似度比较器: 1。 采用标准的 Levenshtein Distance 算法计算两个文件的相似度。 2。 程序使用简单。选入多个文件,然后按分析便个分析出两个文件之间的相似程度。 3。 发现问题欢迎和我讨论。 E-mail: hackerqc@gmail.com-document similarity comparison : 1. Standard Levenshtein Distance algorithm similarity of the two documents. 2. The use of simple procedures. Elected to multiple files, then analyzes analysis of the two documents between the degree of similarity. 3. Discover and I welcome discussion. E-mail : hackerqc@gmail.com
Platform: | Size: 434176 | Author: 覃超 | Hits:

[Compress-Decompress algrithmsString-Similarity-0.02.tar

Description: 此程序是关于字符串 模糊相似度的计算程序(C语言)-this program is a string of vague similarity calculation procedures (C language)
Platform: | Size: 14336 | Author: youyou | Hits:

[Software EngineeringImage-similarity-using-mutual-information-of-regio

Description: 基于互信息的图像相似性测量。Image similarity using mutual information of regions .pdf-Based on mutual information image similarity measurement. Image similarity using mutual information of regions. Pdf
Platform: | Size: 164864 | Author: mountainspring | Hits:

[MultiLanguagesimilarity

Description: 简单处理两个句子中的相似度对比问题,具体用法很简单,在main函数中写入句子即可-Simple treatment of the similarity of two sentences merely a matter of comparison, the specific usage is very simple, in the main function can write sentences
Platform: | Size: 1506304 | Author: chen | Hits:

[AI-NN-PRsimilarity

Description: 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)-This is a recognition of the similarity between two sentences of the procedure, the input of two Chinese characters, the output is a score (out of 100)
Platform: | Size: 914432 | Author: 黄家 | Hits:

[Search Enginesimilarity

Description: 文本相似度计算余弦相似度代码,计算文本相似度,用于搜索引擎-Cosine similarity of text similarity computation code, the text of the similarity calculation for the search engine
Platform: | Size: 5120 | Author: li xiaowen | Hits:

[Othersimilarity

Description: 通过将待进行计算的向量放入二维数组中,然后编程实现皮尔森和余弦相似度公式,计算向量之间的相似度。-caculate the similarity of vector
Platform: | Size: 1024 | Author: fengsushi | Hits:

[Special Effectssimilarity

Description: 自相似特征(self-similarity)描述子的提取代码,算法见“Matching Local Self-Similarities across Images and Videos”-Self-similar characteristics (self-similarity) describe the extraction of sub-code, algorithms, see " Matching Local Self-Similarities across Images and Videos"
Platform: | Size: 285696 | Author: jiashijie | Hits:

[SCMText-Similarity-0.07.tar

Description: This project will produce a set of machine measures of text document similarity. A measure of document similarity quantifies the degree to which two text documents are related.
Platform: | Size: 37888 | Author: James Huang | Hits:

[Special EffectsHSV-color-space-based-on-similarity-calculation-me

Description: 一种基于HSV空间的颜色相似度计算方法 一种基于HSV空间的颜色相似度计算方法-HSV color space based on similarity calculation method
Platform: | Size: 224256 | Author: say5201 | Hits:

[Othersimilarity-comparison

Description: 一种基于图的程序行为相似性比较方法similarity comparison-A graph-based similarity comparison program behavior
Platform: | Size: 354304 | Author: blond | Hits:

[Special Effectssimilarity

Description: python写的图像相似度算法。比较图像相似度,选出最相思的图片-python write the image similarity algorithm. Compare image similarity, image to select the most Acacia
Platform: | Size: 388096 | Author: zyy | Hits:

[MultiLanguageWordNet-Similarity-2.05.tar

Description: 基于wordnet的词语相似度计算工具,请结合该工具源网络地址查看-the tool of compute similarity of words
Platform: | Size: 5847040 | Author: 鹿文鹏 | Hits:

[JSP/Javajava-string-similarity-master

Description: similarity cosine ontology
Platform: | Size: 466944 | Author: fariss01 | Hits:

[matlabtime series similarity measures

Description: 这个包里包含了四种常用的时间序列相似性评估算法,包括DTW,LCSS, PLA和PAA,方便学者在进行开展实验时进行对比分析,也可以运用在多种需要评估距离的场景中。(This package includes four common time series similarity measures, including DTW, LCSS,PLA and PAA. This package can be used when the researcher carries out experiments on time series measures, and they can also be applied in different situation that needs the distance measure.)
Platform: | Size: 1024 | Author: heavenyyq | Hits:
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