Neighbors 第9页

k-Nearest Neighbors(KNN)算法—程序和总结篇

下面是python3.4代码，我修改过。是根据《machinelearninginaction》中第二章的算法改变的。fromnumpyimport* importoperator fromosimportlistdir deffile2matrix(filename): fr=open(filename) numberOfLines=len(fr.readlines()) returnMat=

qianmeiling2848·2016-04-13 18:00

k-Nearest Neighbors(KNN)算法—原理篇

前一阵子，在学习机器学习参考资料《Machinelearninginaction》，一本以python语言为主。python比较简单，写算法比较灵活，对数组矩阵的计算形式调用较为简单。第一个机器学习的例子，就是kNN，它是一个简单的机器学习模型，容易理解而且效率高。原理和它的想法都很简单：用距离来分类的方法，计算待分类样例与已知所有分类样例的距离，对结果进行排序，找出最小距离的前k个结果，对k个结

qianmeiling2848·2016-04-11 19:00

ML：Scikit-Learn 学习笔记（2） --- Nearest Neighbors 最近邻分类

1最近邻分类使用最近邻进行归类，是基于输入样本的，他和其他算法不一样，最近邻不会试图去构造一个泛化的模型，而只是去简单的使用输入训练集的所有数据。对于输入的测试数据（点）最近邻一般都是找到和他在空间中距离最相近的一些点，通过投票决定其最终的分类。在scikit-learn当中，提供了两种不同的实现。其中KNeighborsClassifier，实现了最近K邻（KNN）的算法，即考虑和输入点最接近的

MebiuW·2016-04-05 13:37

ML：Scikit-Learn 学习笔记（2） --- Nearest Neighbors 最近邻分类

1最近邻分类使用最近邻进行归类，是基于输入样本的，他和其他算法不一样，最近邻不会试图去构造一个泛化的模型，而只是去简单的使用输入训练集的所有数据。对于输入的测试数据（点）最近邻一般都是找到和他在空间中距离最相近的一些点，通过投票决定其最终的分类。在scikit-learn当中，提供了两种不同的实现。其中KNeighborsClassifier，实现了最近K邻（KNN）的算法，即考虑和输入点最接近的

MebiuW·2016-04-05 13:00

ML：Scikit-Learn 学习笔记（1） --- Nearest Neighbors 最近邻综述

Scikit-Learn学习笔记（1）—NearestNeighbors最近邻综述1前言最近在做机器学习的作业，要用到Scilit-Learn这个东西，由于我这个人功利性比较明显，让我看那文档着实不爽，因为看了就过了。。所以我又来写博客了，发挥我这学期看到什么就写什么的热情。这个笔记我想做成的形式就是挑选的翻译+理解的形式，所以真的是笔记哦2综述在scikit-learn当中，最近邻的相关代码在s

MebiuW·2016-04-03 18:00

leetcode 133. Clone Graph

Cloneanundirectedgraph.Eachnodeinthegraphcontainsa label andalistofits neighbors.structUndirectedGraphNode

u014568921·2016-03-25 22:00

【机器学习实战】KNN

其实顾名思义就能猜个七八成了，k-nearest-neighbors，邻居？首先假设我们有一个计算两个sam

Jacketinsysu·2016-03-20 13:00

【机器学习实战】KNN

其实顾名思义就能猜个七八成了，k-nearest-neighbors，邻居？首先假设我们有一个计算两个sam

Jacketinsysu·2016-03-20 00:00

lintcode-medium-Clone Graph

Cloneanundirectedgraph.Eachnodeinthegraphcontainsa label andalistofits neighbors.思路：分为两步1.BFS，新建所有图中的

哥布林工程师·2016-03-15 13:00

ORACLE数据字典

fromDICTIONARY(DICT)用户能够查看哪些数据字典视图3类：ALL_视图, DBA_视图,USER_视图2.select*fromDICT_COLUMNSwheretable_name='DBA_2PC_NEIGHBORS

fjseryi·2016-03-10 15:00

133. Clone Graph

*classUndirectedGraphNode{ *intlabel; *Listneighbors; *UndirectedGraphNode(intx){label=x;neighbors

新一代的天皇巨星·2016-03-05 13:00

Least Squares & Nearest Neighbors

1.线性模板和最小平方·线性回归也可用于简单的分类，boundary虽然简单，但模型势必不准确。·存在问题：ESLP13：两种场景·scikit-learn:LinearModel.LinearRegression()classLinearRegression(LinearModel,RegressorMixin): """ OrdinaryleastsquaresLinearRegressi

闷头雪IT·2016-03-05 11:00

[leetcode] 133. Clone Graph 解题报告

leetcode.com/problems/clone-graph/Cloneanundirectedgraph.Eachnodeinthegraphcontainsa label andalistofits neighbors.OJ'sundirectedgraphserialization

qq508618087·2016-03-05 04:00

Opencv2.4.9源码分析——K-Nearest Neighbors

一、原理K近邻算法（KNN，K-NearestNeighbors）是一种非常简单的机器学习方法，它既可以处理分类问题，也可以处理回归问题，而且它的执行效果非常好。KNN是一种懒惰学习算法（lazylearningalgorithm）。所谓懒惰算法指的是，直到有了新的测试样本，该算法才开始依据训练样本进行样本的预测处理工作，也就是说该算法事先不会对训练样本进行任何的处理，只会“懒散”的等待测试样本的

zhaocj·2016-02-29 11:31

快速近似最近邻搜索库 FLANN - Fast Library for Approximate Nearest Neighbors

WhatisFLANN?FLANNisalibraryforperformingfastapproximatenearestneighborsearchesinhighdimensionalspaces.Itcontainsacollectionofalgorithmswefoundtoworkbestfornearestneighborsearchandasystemforautomatical

garfielder007·2016-02-16 14:56

Clone Graph

题目Cloneanundirectedgraph.Eachnodeinthegraphcontainsa label andalistofits neighbors.OJ'sundirectedgraphserialization

mengfanrong·2016-02-15 21:00

OpenCV Maching Learning 之K-Nearest Neighbors

参考：http://docs.opencv.org/2.4/modules/ml/doc/k_nearest_neighbors.html http://www.cnblogs.com/xiangshancuizhu

ncut_matlab·2016-01-25 15:00

Leetcode - Clone Graph

*classUndirectedGraphNode{*intlabel;*Listneighbors;*UndirectedGraphNode(intx){label=x;neighbors=newArrayList

Richardo92·2015-12-31 18:55

Clone Graph

CloneGraph复制一个无向图，图中每个节点都有一个label和一个neighbors集合。解决图的题，因为图中存在环，我们要判断哪些点已经访问过了，做上标记，以防止进入死循环。

KickCode·2015-12-17 09:00

机器学习实战-K-nearest neighbors 算法的优缺点

K临近算法是基于实例的学习，使用算法的时候我们必须要有接近分类结果的实例训练样本数据。优点：精度高，对异常值不敏感缺点：时间复杂度和空间复杂度比较大。（如果训练样本数据集比较大，需要大量的空间来保存数据，并且需要待预测数据和训练样本数据集每条数据的距离，耗费时间。）无法给出任何数据的基础结构信息，因此无法知晓平均实例样本和典型事例样本有什么特征。无法持久化分类器。

HarlanC·2015-12-10 21:00

kNN-K-Nearest Neighbors algorithm k邻近算法（二）

2.3示例：手写识别系统2.3.1准备数据：将图像转换为测试向量训练样本：trainingDigits2000个例子，每个数字大约200个样本测试数据：testDigits大约900个为使用前面两个例子的分类器，我们需要先把图像格式转换为一个向量。将32x32二进制图像矩阵转换为1x1024的向量。2.3.2测试算法：使用k-近邻算法识别手写数字

hudongni1·2015-11-25 15:00

leetcode------Find Peak Element

： Find Peak Element 通过率： 32.3% 难度：中等 A peak element is an element that is greater than its neighbors

·2015-11-13 14:11

LeetCode: Clone Graph

这题的思路就是建一个old graph到新的graph点的对应map，queue表示还未访问过的old graph的点的队列，如果queue的front的点的neighbors vector里有未访问的点就添加到队列里

·2015-11-13 12:21

USACO Section 3.3: Riding the Fences

At each step: If the node has no neighbors, then append the node to the circuit and return If

·2015-11-13 12:14

[LeetCode]Clone Graph

Each node in the graph contains a label and a list of its neighbors.OJ's undirected graph

·2015-11-13 05:29

[LeetCode#133]Clone Graph

Each node in the graph contains a label and a list of its neighbors.

·2015-11-13 01:49

LeetCode: Find Peak Element 解题报告

Find Peak Element A peak element is an element that is greater than its neighbors.

·2015-11-13 00:31

LeetCode: Clone Graph 解题报告

Each node in the graph contains a label and a list of its neighbors.OJ's undirected graph serialization

·2015-11-13 00:10

Clone Graph

Each node in the graph contains a label and a list of its neighbors.

·2015-11-12 22:24

【leetcode】Find Peak Element

Find Peak Element A peak element is an element that is greater than its neighbors.

·2015-11-12 21:19

Clone Graph

Each node in the graph contains a label and a list of its neighbors.

·2015-11-12 21:10

Clone Graph

Each node in the graph contains a label and a list of its neighbors.

·2015-11-12 16:37

Find Peak Element

An array element is peak if it is NOT smaller than its neighbors.

·2015-11-11 19:21

Clone Graph

Each node in the graph contains a label and a list of its neighbors.

·2015-11-11 15:38

Clone Graph

Each node in the graph contains a label and a list of its neighbors.

·2015-11-11 13:31

Leetcode: Find Peak Element

A peak element is an element that is greater than its neighbors.

·2015-11-11 12:05

Leetcode: Clone Graph

Each node in the graph contains a label and a list of its neighbors.

·2015-11-11 12:01

[leetcode]Clone Graph

一开始有两个错误，一是null的时候也要返回null，二是有可能节点0也有指向0本身的邻居，所以在对neighbors做遍历前要先放到map里。

·2015-11-11 09:01

Find Peak Element

A peak element is an element that is greater than its neighbors.

·2015-11-11 04:52

Clone Graph——LeetCode

Each node in the graph contains a label and a list of its neighbors.

·2015-11-11 01:11

CDP命令详解

show cdp neighbors :作用是显示有关直连设备的信息，其中包括设备的主机名，接收数据包的端口或接口，保持时间，

·2015-11-11 00:47

Find Peak Element

A peak element is an element that is greater than its neighbors.

·2015-11-10 23:29

【LeetCode】162. Find Peak Element (3 solutions)

Find Peak Element A peak element is an element that is greater than its neighbors.

·2015-11-09 13:14

【LeetCode】133. Clone Graph (3 solutions)

Each node in the graph contains a label and a list of its neighbors.

·2015-11-08 11:52

Find Peak Element

/oj.leetcode.com/problems/find-peak-element/ A peak element is an element that is greater than its neighbors

·2015-11-08 09:05

Clone Graph

Each node in the graph contains a label and a list of its neighbors.

·2015-11-07 09:06

Find Peak Element

Find Peak Element 问题： A peak element is an element that is greater than its neighbors.

·2015-11-03 21:29

leetcode Find Peak Element python

Find Peak Element A peak element is an element that is greater than its neighbors.

·2015-11-02 18:42

kNN-K-Nearest Neighbors algorithm k邻近算法（一）

给定训练数据样本和标签，对于某测试的一个样本数据，选择距离其最近的k个训练样本，这k个训练样本中所属类别最多的类即为该测试样本的预测标签。简称kNN。通常k是不大于20的整数，这里的距离一般是欧式距离。2：python代码2.1kNN概述2.1.1：准备：使用python导入数据 2.2.1：实施kNN算法代码讲解：(a)tile函数tile(inX,i)，扩展长度；tile(inX

hudongni1·2015-11-01 18:00

Find Peak Element(ARRAY - Devide-and-Conquer)

QUESTION A peak element is an element that is greater than its neighbors.

·2015-10-31 13:59

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