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。
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。
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。
Most of the content-based filtering algorithms are based on vector space model, of which Naive Bayes algorithm and K-Nearest Neighbor (KNN) algorithm are widely used.
基于内容的过滤算法大多数是基于向量空间模型的算法，其中广泛使用的是朴素贝叶斯算法和K最近邻（KNN）算法。
Nearest Neighbor Algorithm is used as a prediction model to predict the protein subcellular locations, and gains a correct prediction rate of 70.63%, evaluated by Jackknife cross-validation.
最近邻算法是用来作为预测模型预测蛋白质的亚细胞位置，并获得一个正确的预测准确率70.63％，刀切交叉验证评估。
In CBR model, two retrieval techniques, 'Inductive Indexing' and 'Nearest Neighbor', are then applied to retrieve relevant cases from the knowledge-based database.
在CBR模式，两种检索方法，“诱导式索引”与“近邻”，然后从以知识为基础的数据库检索有关案件。
Usually, they are limited to assigning objects to the class model that fits best, e. g. by the nearest neighbor rule.
通常，在这个分类模型中可以达到最好分类(例如采用最邻近法则)的对象不多。
This model includes a historical database, a procedure of searching for the nearest neighbor subset and its optimization algorithm and the technique of predict and estimation.
该模型包括历史样本数据库、近邻子集搜索程序、近邻子集优化算法和预报量估计技术。
The paper investigates the time evolution of a Gaussian wave packet in a tight-binding ring model with uniform nearest-neighbor hopping integral.
探讨了一维均匀紧束缚环模型中高斯波包的时间演化规律。
In this paper, the non-linear properties of the nearest neighbor interaction between particles in one-dimensional quantum lattice gas are investigated, giving out the soliton theory of the model.
本文研究一维量子晶格气中粒子最近邻相互作用的非线性性质，给出这一模型的孤子理论。
The model USES an improved nearest-neighbor clustering algorithm to select the RBF center, and a recursive least square algorithm to train weights of the RBF neural network.
该模型首先采用改进的最近邻聚类算法确定径向基函数中心，接着应用递推最小二乘法训练网络的权值。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
应用推荐