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TranslationMobile

近優(yōu)性
最近鄰體法

"near" in Chinese : adv. 1.近,接近,鄰接 (opp. far)。 2 ...
"neighbor" in Chinese : n. 1.鄰人,鄰居；鄰近的人；鄰國(guó)(人)。 2.鄰座( ...
"nearest neighbor" in Chinese : 最近鄰域
"k-nearest neighbor estimation" in Chinese : k 最近領(lǐng)域估價(jià); 最近領(lǐng)域估價(jià)
"k-nearest neighbor method" in Chinese : k-最近鄰法
"mean distance to nearest neighbor" in Chinese : 平均最近鄰距
"nearest neighbor analysis" in Chinese : 緊鄰分析法; 最近鄰分析法
"nearest neighbor approximation" in Chinese : 最近鄰近似法
"nearest neighbor classification" in Chinese : 最近鄰域分類; 最鄰近分類法
"nearest neighbor decoding" in Chinese : 最鄰近譯碼
"nearest neighbor energy" in Chinese : 最近鄰能
"nearest neighbor frequency" in Chinese : 緊鄰頻率; 最近鄰頻率
"nearest neighbor index" in Chinese : 距離指數(shù)
"nearest neighbor interaction" in Chinese : 最近鄰相互作用
"nearest neighbor interpolation" in Chinese : 最接近原則插值

Examples

Specifies nearest - neighbor interpolation
指定最臨近插值法。
A class of non - nearest - neighbor random walks in random environments
一類隨機(jī)環(huán)境中的非緊鄰的隨機(jī)游動(dòng)
A data - partitioning - based nearest - neighbors - first clustering algorithm
基于數(shù)學(xué)形態(tài)學(xué)的圍棋棋群聚類算法
Improving performance of decision trees with multi - edit - nearest - neighbor algorithm
采用重復(fù)剪輯近鄰法提高決策樹算法的性能
The recurrence for a class of non - nearest - neighbor random walks in random environments
一類隨機(jī)環(huán)境中非緊鄰的隨機(jī)游動(dòng)的常返性
Efficient k - nearest - neighbor search algorithms for historical moving object trajectories
有效的歷史移動(dòng)對(duì)象軌跡的k最近鄰居查找算法
Composite distance transformation for indexing and k - nearest - neighbor searching in high - dimensional spaces
基于復(fù)合距離轉(zhuǎn)換的k近鄰查詢與索引
On the first - arrival time series of one - dimensional nearest - neighbor random walks in a space - time random environments
空間隨機(jī)環(huán)境中1維緊鄰隨機(jī)游動(dòng)首達(dá)時(shí)分布性質(zhì)
In this paper , a novel - it composite distance transformation method , which is called cdt , is proposed to support a fast k - nearest - neighbor k - nn search in high - dimensional spaces
提出一種新型的基于復(fù)合距離轉(zhuǎn)化的索引方法cdt composite distance transformation ，以支持快速的k近鄰查詢。
These values are the critical exponents of three - dimension site - lattice . we study the two - dimension triangular - bond lattice percolation with next - nearest - neighbor interactions on the renormalization group approach as well
另外，我們采用位置空間重整化群方法，對(duì)二維次近鄰三角格子鍵滲流模型進(jìn)行了研究。