青年中文document clustering的意思
document clustering中文翻譯：
文件聚類；文件分群；文本聚類
document───vt.記錄，記載；n.文件，公文；[計]文檔；證件
clustering overview───群集概述
clustering ensemble───聚類融合
divisive clustering───分裂聚類
clustering survey───聚類調查
document scan───文檔掃描
clustering metric───聚類度量
clustering nodes───群集節點
word document───Word文檔
All document clustering methods are based on keywords now.───現有的文獻聚類方法都是通過文獻關鍵詞來進行的。
This paper presents a method to study interdisciplines by document clustering analysis.───本文提出了一種通過文獻數據聚類分析來研究學科交叉的方法。
Document clustering had been employed in information filtering, web page classification and so on.───文本聚類在信息過濾，網頁分類中有著很好的應用。但它面臨數據量大，特征維度高的難點。
detecting hotspot of discipline; topic clustering; topic extraction; document clustering.───學科熱點監測；主題聚類；主題抽取；文本聚類。
It uses the document clustering to find multi-interests of each user and the accuracy of describing user's interests is improved.───利用文檔聚類發現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。
Document clustering description is a problem of labeling the clustered results of document collection clustering.───標注文本集合聚類后生成的類簇被稱為聚類描述問題。
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。
Needle document clustering results This paper lists several common methods for assessment.───針文檔聚類的結果本文列舉了幾個常見的評估方法。
And then comes the document clustering techniques.───于是，文本聚類技術應運而生。
A multi-level document clustering algorithm was proposed based on association rules, It constructed document feature vector of topic and keyword by using a new method of document feature extraction.
This paper proposed the algorithm for a document clustering based on similarity to overcome the drawbacks of ordinary information search.
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.
The thesis proposes a new document clustering method that uses a model named Document Index Graph to represent Chinese documents.
All document clustering methods are based on keywords now.
Experiments show that the automatic parameter setting in document clustering generates more satisfied clustering result and improves the clustering efficiency.
It uses the document clustering to find multi-interests of each user and the accuracy of describing user's interests is improved.
And then comes the document clustering techniques.
Document clustering had been employed in information filtering, web page classification and so on.