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spatial clustering in Chinese

Pronunciation:
How to pronounce "spatial clustering""spatial clustering" in a sentence

Translationmobile phoneMobile

  • 空間積群法
  • 空間群集

Examples

  • Systemically analyzing and summarizing different spatial clustering algorithms that have been published in documents
    空間聚類分析是空間數(shù)據(jù)挖掘的重要研究方向之一。
  • With the help of spatial clustering analytical tools , not only clustering rules can be extracted in a large column of spatial database , but when combining with other data mining methods knowledge hidden deeply can be discovered efficiently and effectively as well
    空間聚類分析既可以發(fā)現(xiàn)隱含在海量數(shù)據(jù)中的聚類規(guī)則,又可以與其它數(shù)據(jù)挖掘方法結(jié)合使用,發(fā)掘更深層次的知識,從而提高數(shù)據(jù)挖掘的效率和質(zhì)量。
  • The shortcoming of the methods of differential profit and multi - factor comprehensive appraisal is analyzed , and the main thinking and step of gradation by the land price price partition based on spatial clustering is put forward , and an example of shishi city urban land gradation is given
    摘要分析了多因素綜合評定法、級差收益測算法等城鎮(zhèn)土地定級方法的不足,提出了基于空間聚類的地價(jià)分區(qū)定級法的主要思想和主要步驟,并以石獅市土地定級為例,驗(yàn)證了此方法。
  • Spatial data mining is one research field of data mining , which can discover effective , novel , invaluable and understandable knowledge or rules from spatial database . clustering is a very important technology and method of data mining as well as spatial clustering analysis is the main research field of spatial data mining
    空間數(shù)據(jù)挖掘是數(shù)據(jù)挖掘研究的一個(gè)重要研究方向,是從空間數(shù)據(jù)庫中識別或提取有效的、新穎的、潛在有用的、最終可理解的模式的非平凡過程。
  • ( 4 ) seven kinds of spatial data clustering approaches are studied . and the technique to solve the problem of constraint - based spatial cluster analysis is explored . in addition , a new spatial clustering algorithm based on genetic algorithms is set forward and it can give attention to local constringency and the whole constringency
    ( 4 )系統(tǒng)研究了七種典型的空間數(shù)據(jù)聚類方法,積極探索基于約束條件的空間聚類問題的解決方案;將遺傳算法引入空間數(shù)據(jù)聚類領(lǐng)域,提出一種基于遺傳算法的空間聚類算法,該算法兼顧了局部收斂和全局收斂性能。
  • In the fundamental research part , the paper reorganizes the representative research achievements from the spatial structure and the spatial clusters perspectives , argues that the existing research results about agglomeration mainly focus on the manufacturing industry , lacks exhaustive research about the new agglomeration such as the science and education district and the business district
    在理論研究部分,論文從空間結(jié)構(gòu)和空間集群兩個(gè)角度,對代表性研究成果按研究需要進(jìn)行了梳理,認(rèn)為現(xiàn)有研究成果對集聚的討論主要集中在制造業(yè)領(lǐng)域,對科教文化區(qū)、商務(wù)行政區(qū)這樣的新集聚缺少細(xì)致的研究。
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