搜索资源列表
-
0下载：
c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation.
It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
-
-
1下载：
K近邻算法在Matlab中的实现，相当完整，对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped
-
-
0下载：
K Nearest Neighbor algorithm Implementation and Overview
-
-
0下载：
knn (k-nearest neighbor)用c++实现的近邻算法-knn (k-nearest neighbor) algorithm
-
-
0下载：
K-PNN Algorithm
a type of k nearest neighbor algorithm
-
-
0下载：
模式识别中的k近邻算法，用matlab编写，希望对大家有所帮助-K-nearest neighbor algorithm for pattern recognition with matlab write, we want to help
-
-
0下载：
期望最大化的算法代码，类似于k近邻，分为两个步骤：E步骤和M步骤。-Expectation maximization algorithm code, similar to the k nearest neighbor, is divided into two steps: E steps and M steps.
-
-
0下载：
K近邻算法，对一段数据进行分类，word 说明文档-K nearest neighbor algorithm
-
-
0下载：
In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
-
-
0下载：
传统基本K-最邻近分类算法源程序 云计算-Traditional basic K-nearest neighbor classification algorithm source code
-
-
0下载：
java语言实现的KNN算法代码。
KNN就是K最近邻(k-Nearest Neighbor，KNN)分类算法-java language code of the KNN algorithm. KNN is a K-nearest neighbor (k-Nearest Neighbor, KNN) classification algorithm
-
-
0下载：
关于K近邻算法的详细描述，包括算法原理及应用背景。-K-nearest neighbor algorithm on a detailed descr iption, including algorithm theory and application background.
-
-
0下载：
Delphi realization of k-nearest neighbor algorithm.
-
-
0下载：
利用K近邻法实现数字识别算法。误差小，识别效率高，网络训练速度快。-K-nearest neighbor algorithm, digital identification algorithm. Error is small, high recognition efficiency and speed of network training.
-
-
1下载：
K邻近快速算法，包含有独立的样本分解算法，树搜索算法，稍作改动便可以满足各种要求。-K adjacent fast algorithm contains a separate sample decomposition algorithm, the tree search algorithm, some minor changes will meet a variety of requirements.
-
-
0下载：
采用快速K近邻与Kmeans聚类算法来计算前K个近邻，舍弃了一部分不可能成为待测样本的前K个近邻的训练样本，从而减少了计算量，提高了分类速度-Fast K-nearest neighbor Kmeans clustering algorithm to calculate the K nearest neighbors, abandoning the training samples of the part can not become the first K neighbors of the t
-
-
0下载：
数据挖掘中经典的KNN（K-最近邻）算法，导入即可运行-Data Mining the classical KNN (K- nearest neighbor) algorithm, you can import operation
-
-
0下载：
通过k近邻算法实现数字识别，主要包含0-9之间的所有数字。(Digital identification is realized by K nearest neighbor algorithm.)
-
-
0下载：
K近邻算法，即是给定一个训练数据集，对新的输入实例，在训练数据集中找到与该实例最邻近的K个实例（也就是上面所说的K个邻居）， 这K个实例的多数属于某个类，就把该输入实例分类到这个类中(K nearest neighbor algorithm function)
-
-
0下载：
此处用python实现机器学习k近邻算法(Implementation of k nearest neighbor algorithm for machine learning)
-
