搜索资源列表
NaiveBayes
- 基于朴素贝叶斯算法实现的文本分类程序，对数据挖掘的初学者具有很好的学习参考价值。-Based on Bayesian text classification algorithm procedures, data mining beginners a good learning reference value.
zidianyasuo
- 字典压缩算法，用java实现的，可以运行，适合大多数文本-Dictionary compression algorithm, using java to achieve, you can run for most text
classfication
- 基于贝叶斯及KNN算法的newsgroup文本分类器，整个程序，可以直接导入-And KNN algorithm based on Bayesian text classifier newsgroup, the entire program, you can directly import
classfication
- 基于贝叶斯及KNN算法的newsgroup文本分类器，整个程序，可以直接导入-And KNN algorithm based on Bayesian text classifier newsgroup, the entire program, you can directly import
TextFliter01
- 文本过滤器 采用了贝叶斯算法 有界面输出 -Text filter Bayes
java
- java数据结构课程设计利用线程计数比较多种排序算法文本编辑器-java editor
textcluster
- 基于KMeans的文本聚类算法，支持文本输入，简单易懂-KMeans clustering algorithm based on text, support for text input, easy to understand
MyTextCluster
- 实现k-means算法的文本分类，用java代码实现的，希望对大家能有帮组-k-means cluster
SimHash
- simhash算法的使用，可以进行网页去重，文本的相似度计算等-Use simhash algorithm can go heavy pages, such as text similarity calculation
class
- 中文文本分类可以对已经分好词的文本进行分类，先自己导入数据，用libsvm中的svm进行分类和预测，特征用tfidf算法，还利用卡方检验进行了特征选择，可自行设定阈值-text mining
kmp
- java代码，KMP算法匹配，返回位移值，用户可自行改变原文本及想要匹配的文本-java code, KMP matching algorithm, the return displacement value, the user can change the original text of this and want to match their own
KNN
- 实现了KNN文本的分类，KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
julei
- TFIDF产生文本权重，在用K-means算法进行聚类。方法简单，可供相关人员参考继续深入学习-TFIDF generated text weights in with K-means clustering algorithm. The method is simple, the relevant officers for further study
909aae2c-4f2c-4771-83e4-6894516f14e1
- 一个中文分词算法，可以实现将分词文本切分成自定义字典中的单词-A Chinese word segmentation algorithm, you can achieve the word segmentation text into a dictionary of words
textClassifier
- 新闻文本分类器，采用naive Bayes算法。先对训练集处理得到词库，再通过测试集检验，核算分类器的正确率。-News texts classification, the use of naive Bayes algorithm. First treatment of the training set to get the thesaurus, then tested by the test set and accounting the correct rate of classificati
textcluster
- java版的k-means算法，实现文本聚类功能-the k-means algorithm in java
text2
- 一个用java写的apriori算法，输入文本能实现具体的功能。-Using java to write the apriori algorithm, enter the text to achieve specific functions.
TextSimilarity
- 相识度运算,相识度算法，文本相识度等,用于文本相识度运算。-this is true.mybe you need.
MyApriori
- 使用Apriori算法进行关联规则挖掘，数据文本格式参阅例子文件夹-Association rule mining with Apriori
javaEnglish-text-extraction-stems
- 英文文本抽取词干，实现波特词干提取算法 Java代码-English text extraction stems Java code