document clustering造句
例句與造句
- Dynamic document clustering based on genetic algorithm
基于遺傳算法的動態(tài)文本聚類 - On document clustering based on fuzzy c - mean algorithm
均值算法文檔聚類問題的研究 - A research of document clustering algorithm based on vector space model
基于向量空間模型的文本檢索系統(tǒng) - The combination of document clustering technique and web search engine has become a hot - spot in document mining area
文本聚類技術和網(wǎng)絡搜索引擎服務相結合,已經(jīng)成為文本挖掘領域的一個熱點研究課題。 - It uses the document clustering to find multi - interests of each user and the accuracy of describing user ' s interests is improved
利用文檔聚類發(fā)現(xiàn)用戶的多個子興趣主題，從而提高對用戶興趣偏好描述的準確性。 - It's difficult to find document clustering in a sentence. 用document clustering造句挺難的
- The thesis proposes a new document clustering method that uses a model named document index graph to represent chinese documents
本文提出的一種新的文本聚類方法,采用一種稱為文檔索引圖的結構來構建中文文本表示模型。 - But there are seldom researches in using document clustering technique into chinese web documents and cooperating with chinese web search engine services
但是,把文本聚類技術應用于中文web文檔,與中文搜索引擎服務相結合的研究仍然比較匱乏。 - Our experimental evaluations show that our methods surpass the nmf not only in the easy and reliable derivation of document clustering results , but also in document clustering accuracies
實驗結果顯示,在聚類的容易度、準確度、時間復雜度上均取得較nmf算法更合理的效果。 - To improve document clustering , a document similarity measure based on cosine vector and keywords frequency in documents is proposed , but also with an input ontology
為了改進文本聚類的效果，提出了將領域知識本體和文本關鍵詞詞頻相結合的基于余弦向量的文本相似性測度方法。 - 2 . analyze the drawbacks of traditional transaction identification methods , and propose an improved one , which combines content data of web pages , and applies document clustering algorithm in this process
2 .在分析傳統(tǒng)事務識別方法不足的基礎上,結合網(wǎng)頁內容對事務識別方法進行適當?shù)母倪M,將內容挖掘中的文本聚類算法引入到事務識別的過程中。 - To this practical problem , this paper undertakes the program “ the data mining service system based on web application , mineronweb ” , and makes some deep investigations on document clustering of chinese web document
針對這一實際問題,根據(jù)四川省科技廳青年軟件創(chuàng)新課題“基于web的數(shù)據(jù)挖掘服務系統(tǒng)- mineronweb ” ,對中文web文檔的文本聚類技術進行研究。 - Phrase - based document clustering method for chinese web document , the one of kernel technology in this project , is a new method that can improve the disadvantage of implementing the traditional text represent model into chinese document
本課題的核心研究之一? ?基于短語匹配的中文web文檔聚類方法,是為了彌補傳統(tǒng)的文本表示模型應用于中文文檔不足而發(fā)展出來的一種新方法。 - In relation to the clustering of searching results , we first generally introduced the background of document clustering . then , we put forward a method of n - gram based auto - clustering that is fit for real - time implementation and multi - language
在對不同搜索引擎返回結果的自動分類上，我們先概括的介紹了文本分類的背景，然后提出一種基于n - gram自動分類方法，該方法的不但適合于在線實現(xiàn)而且還具有跨語種的特點。 - Different from previous document clustering method based on nmf , our methods try to discover both the geometric and discriminating structures of the document space in an unsupervised manner , companied with high accuracy in acceptable computationally expensive
與基于nmf算法的文本聚類不同,我們的算法力求以無監(jiān)督的方式,在時間復雜度允許的范圍內,找到更適合于分類操作的數(shù)據(jù)向量間的幾何局部特征向量及相應的各文檔的編碼向量。 - Document clustering techniques have been received more and more attentions as a fundamental and enabling tool for efficient organization , navigation , retrieval , and summarization of huge volumes of text documents . the aim of document clustering is to cluster the documents into different semantic classes in an unsupervised manner
文本聚類作為一種對大規(guī)模文本信息進行有效地組織、導航、檢索和概括匯總的關鍵的、基本的技術而日益受到關注,其主要目的是在語義空間里以無監(jiān)督的方式將文本集中的文本劃分成不同的類。
更多例句： 下一頁