The 1-Nearest-Neighbor Rule (1-NN) is the simplest and most natural classification rule.
最邻近法则（1-NN）是最简单和最为自然的分类法则。
Part 3 will bring the "Data mining with WEKA" series to a close by finishing up our discussion of models with the nearest-neighbor model.
第3部分是“用WEKA进行数据挖掘”系列的结束篇，会以最近邻模型结束我们对模型的讨论。
Their nearest neighbor is a rich man whose orphaned grandson lives with him.
他们最近的邻居是一个富人，他的孤儿孙子和他住在一起。
Located in the South Pacific, its nearest neighbor is Pitcairn Island, which is 1,300 miles away.
坐落于南太平洋，它最近的邻居就是皮特克恩岛，它在1300英里之外。
To answer the question "What is Customer No. 5 most likely to buy?" based on the Nearest Neighbor algorithm we ran through above, the answer would be a book.
如果使用最近邻算法回答我们上面遇到的“第5个顾客最有可能购买什么产品”这一问题，答案将是一本书。
The data set we'll use for our Nearest Neighbor example should look familiar - it's the same data set we used for our classification example in the previous article.
我们将要为我们的最近邻示例使用的数据集应该看起来非常熟悉—这个数据集就与我们在上一篇文章的分类示例中所用的相同。
Where then, did our nearest neighbor in space come from, and what will the future bring? To answer these questions we must go very far back into time.
那么，我们这个最近的邻居来自何方，未来又将怎样？为了回答这些问题，我们必须回到遥远的过去。
You'll find that Nearest Neighbor fixes all those problems in a very efficient manner, especially in the example used above for Amazon.
而最近邻则可以非常有效地解决所有这些问题，尤其是在上述亚马逊的例子中遇到的这些问题。
This last article will discuss the last of the four common data mining techniques: Nearest Neighbor.
本文将讨论四种常用的数据挖掘技术中的最后一种：最近邻。
The Nearest Neighbor algorithm can be expanded beyond the closest match to include any number of closest matches.
最近邻算法可被扩展成不仅仅限于一个最近匹配，而是可以包括任意数量的最近匹配。
Well, first off, remember that regression can only be used for numerical outputs. That differentiates it from Nearest Neighbor immediately.
首先，回归只能用于数值输出，这是它与最近邻的最直接的一个不同点。
Where then, did our nearest neighbor in space come from, and what will the future bring?
那么，我们这个最近的邻居来自何方，未来又将怎样？
Running a classification, clustering, or Nearest Neighbor isn't quite as easy as a regression model, but they aren't much harder.
运行分类、群集或最近邻都不如回归模型简单，但它们也没有那么困难。
Some final take-aways from this model: The power of Nearest Neighbor becomes obvious when we talk about data sets like Amazon.
此模型的一些不尽人意之处：当我们谈论像亚马逊这样的数据集时，最近邻的强大威力是显而易见的。
A variety of schemes have been floated over the past few decades with the intent of making earth's nearest neighbor more amenable to life of the earthly variety - in other words, Terraforming.
在过去的几十年中，已经出现各种各样的设想，打算把地球最近的邻居改造得更接近地球，也就是让它地球化。
In this article, I will also make repeated references to the data mining method called "nearest neighbor," though I won't actually delve into the details until Part 3.
在本文中，我会反复提及称为“最近邻”的数据挖掘方法，但我不会过多地对其进行剖析，详细的介绍会在第3部分给出。
The final challenge with the Nearest Neighbor technique is that it has the potential to be a computing-expensive algorithm.
最近邻技术最后的一个挑战是该算法的计算成本有可能会很高。
Thus, the nearest neighbor to yourself is likely very similar.
您的最近邻会非常相似。
Future articles will touch upon other methods of mining data, including clustering, Nearest Neighbor, and classification trees.
本系列后续的文章将会涉及挖掘数据的其他方法，包括群集、最近的邻居以及分类树。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
基于一种用于混合属性数据的距离定义和改进的最近邻分类方法，提出了一种基于聚类的有指导的入侵检测方法。
The paper presents three methods of spatial queries: spatial Select Query, spatial Joint Query, and Nearest Neighbor Query.
该文还介绍了三种查询方法：空间选择查询、空间连接查询和最近邻居查询。
We summarize that spatial index system should provides three kinds of spatial query, they are, spatial range query, nearest neighbor query, spatial join query.
本文总结出空间索引系统应提供的三类空间查询：空间范围查询、最近邻居查询、空间连接查询。
The fact that man would soon be able to visit the moon built up new scientific interest in the earth's nearest neighbor.
人类不久可以游览月球的事实，引起了人们对地球近邻的新的科学兴趣。
In those lazy learning algorithms most extensively used is nearest neighbor classification (NN) algorithm.
其中消极学习型中应用最广泛的是最近邻分类算法。
Because precise determination of a computer virus is undecidable, a method based on improved K-nearest neighbor to detect computer virus approximately is presented in this paper.
由于计算机病毒检测的不可判定性，提出了一种基于改进的K最近邻检测方法来实现对计算机病毒的近似判别。
Focus movement is based on an algorithm which finds the nearest neighbor in a given direction.
焦点移动基于一种算法：找到指定方向上最近的邻居。
The misclassification probability of the nearest neighbor decision rule won't exceed 2 times of that of Bayes decision rule when the sample number is very large.
最近邻准则是一种次最优准则，当样本数目很大时，最近邻准则的错误率不会超过贝叶斯错误概率的2倍。
This paper presents a novel double-talk detector (DTD) based on a nearest neighbor line (NNL) classifier.
本文提出了一种基于最近邻线分类器的新的双端检测器(DTD)。
This paper presents a novel double-talk detector (DTD) based on a nearest neighbor line (NNL) classifier.
本文提出了一种基于最近邻线分类器的新的双端检测器(DTD)。
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