cluster process中文什么意思

發(fā)音:

用"cluster process"造句

[數(shù)] 簇生過(guò)程

a cluster: 自力村碉樓群
a cluster of: 一串/叢; 一串，一束，一群; 一群、一組; 一群；一組
cluster: n. 1.叢集；叢；(葡萄等的)串，掛；(花)團(tuán)；(秧)蔸；組。 2.(蜂、人等的)叢，群，群集。 3.【物理學(xué)】聚集，組件；【化學(xué)】類(lèi)族，基；(原子)團(tuán)；【天文學(xué)】星團(tuán)。 4.【美軍】(表示又一個(gè)同等勛章的)金屬片。 5.【語(yǔ)音】音叢，音群，義叢，詞組。 6.集中建筑群〔在一大片土地上集中興建住宅，以提供較大的公共休息場(chǎng)所〕。 in a cluster 成串的；成團(tuán)[群]的。 vi.,vt. (使)成群；(使)群集。 clustered column 【建筑】簇柱。
a cluster of buildings: 一群建筑物
a cluster of butterflies: 一群蝴蝶

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birch algorithm . density-based method : if the density of neighborhood, that is the number of data objects, exceeds a certain value, the clustering process will be continued
基于密度的方法的主要思想是：只要鄰近區(qū)域的密度(對(duì)象或數(shù)據(jù)點(diǎn)的數(shù)目)超過(guò)某個(gè)閾值，就繼續(xù)聚類(lèi)。
dissimilarities are assessed base on the attribute values describing the objects . clustering processes are always carried out in the condition without pre-known knowledge, so the main task is to solve that how to get the clustering result in this premise
聚類(lèi)分析依據(jù)的原則是使同一聚簇中的對(duì)象具有盡可能大的相似性，而不同聚簇中的對(duì)象具有盡可能大的相異性，聚類(lèi)分析主要解決的問(wèn)題是如何在沒(méi)有先驗(yàn)知識(shí)的前提下，實(shí)現(xiàn)滿(mǎn)足這種要求的聚簇的聚合。
however, there have still some unresolved problems : first, how to determine the number and size of the clusters automatically during the clustering process . second, how to utilize the " local " ridge regression method which including multiple regularization parameters in learning rbf network . third, those clusters in irregular form ca n't represented by radial basis function, thus we must find some other basis functions that can describe the irregular form
但是仍然存在幾個(gè)問(wèn)題尚待解決：首先，聚類(lèi)時(shí)怎樣自動(dòng)確定簇的個(gè)數(shù)和半徑；其次，如何利用含有多個(gè)正規(guī)化參數(shù)的局部嶺回歸方法進(jìn)行rbf網(wǎng)絡(luò)學(xué)習(xí)；第三，如果簇的形狀是不規(guī)則的，則它很難用徑向基函數(shù)來(lái)描述，因此需要研究其它能代表不規(guī)則形狀的簇的基函數(shù)。
clustering analysis is the method which partition class to the clustered objects as required of thing's characteristics . clustering processes are always carried out in the condition with no pre-known knowledge, so the most research task is to solve that how to get the clustering result in this premises
聚類(lèi)分析是在沒(méi)有先驗(yàn)知識(shí)支持的前提下,根據(jù)事物本身的特性研究被聚類(lèi)對(duì)象的類(lèi)別劃分,實(shí)現(xiàn)滿(mǎn)足這種要求的類(lèi)的聚合,它所依據(jù)的原則是使同一類(lèi)中的對(duì)象具有盡可能大的相似性,而不同類(lèi)中的對(duì)象具有盡可能大的差異性。
clustering processes are always carried out in the condition with no pre-known knowledge, so the most research task is to solve that how to get the clustering result in th is premise . as the development of data mining, a number of clustering algorithms has been founded, in general, major clustering methods, can be classified into the following categories : partitioning methods; hierarchical methods; density-based methods; grid-based methods; model-methods; besides these, some clustering algorithms integrate the ideas of several clustering methods
正是由于聚類(lèi)分析的重要性和特殊性，近年來(lái)在該領(lǐng)域的研究取得了長(zhǎng)足的發(fā)展，涌現(xiàn)出了許多聚類(lèi)分析的方法，如劃分聚類(lèi)方法(partitioningmethod)、層次聚類(lèi)方法(hierarchicalmethod)、基于密度(density?based)的聚類(lèi)方法、基于網(wǎng)格(grid?based)的聚類(lèi)方法、基于模型(model?based)的聚類(lèi)方法等等。

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cluster process中文什么意思

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