data clustering的意思

data clustering中文翻譯：

資料分群，數據分組

相似詞語短語

clustering overview───群集概述

clustering ensemble───聚類融合

divisive clustering───分裂聚類

clustering survey───聚類調查

clustering metric───聚類度量

clustering nodes───群集節點

data───n.（Data）（日）馱太（姓）；（印、葡）達塔（人名）；n.數據；資料

entry data───[計]入口數據

initial data───n.[計]原始數據

雙語使用場景

Data clustering is an important problem in data mining.───數據聚類是數據挖掘中的一個重要課題。

way to establish a certain data clustering property in DB2 is to reorganize the table according to an index.───在DB 2中建立數據聚集屬性的方法是根據一個索引對表進行重組。

Data clustering offers a solution to this problem.───數據集群為這個問題提供了一個解決方案。

A crucial step in the analysis process is to enable users to understand the results of the data clustering step.───在分析過程中，一個關鍵的步驟就是讓用戶理解數據集群步驟的結果。

Meanwhile, the research of the stream data clustering algorithm would be useful references to the similar researches.───同時，本文對流數據聚類算法的研究，對于促進同類問題的研究具有一定的理論價值和借鑒意義。

Our paper investigates two important problems of bioinformatics: gene expression data clustering analysis and structural database searching.───本文深入討論了在生物信息學研究中的兩個熱點問題：基因表達數據聚類分析和結構數據庫搜索。

Data mining is the core topic of this paper. Basically, it includes associate rule founding, data clustering and data assorting.───數據挖掘是本課題的研究核心，主要包括關聯規則發現、數據聚類和數據分類。

Data clustering can have an especially large impact on data warehouse query performance, because rows are often retrieved in large numbers.───數據聚簇對于數據倉庫查詢性能的影響尤其顯著，因為常常在一個查詢中獲取許多行。

In summary, the accuracy of statistics depends on the sampling rate, the data skew, and data clustering for data sampling.───總之，統計信息的準確性取決于抽樣率、數據傾斜（dataskew）以及用于數據抽樣的數據群集。

英語使用場景

This paper formulates for solving the data clustering problem as a graph partition optimal problem, and proposes a parthenogenetic algorithm based on immune mechanism.

Based on finite mixture models, we apply Bayesian method to compositional data and ordinal data clustering.

It first introduces the concept of data clustering and data classification.

Data mining is the core topic of this paper. Basically, it includes associate rule founding, data clustering and data assorting.