spatial clustering造句
例句與造句
- 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。 - It's difficult to find spatial clustering in a sentence. 用spatial clustering造句挺難的
- 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。