<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
<title></title>
<style type="text/css">
/**
* Prism.s theme ported from highlight.js's xcode style
*/
pre code {
padding: 1em;
}
.token.comment {
color: #007400;
}
.token.punctuation {
color: #999;
}
.token.tag,
.token.selector {
color: #aa0d91;
}
.token.boolean,
.token.number,
.token.constant,
.token.symbol {
color: #1c00cf;
}
.token.property,
.token.attr-name,
.token.string,
.token.char,
.token.builtin {
color: #c41a16;
}
.token.inserted {
background-color: #ccffd8;
}
.token.deleted {
background-color: #ffebe9;
}
.token.operator,
.token.entity,
.token.url,
.language-css .token.string,
.style .token.string {
color: #9a6e3a;
}
.token.atrule,
.token.attr-value,
.token.keyword {
color: #836c28;
}
.token.function,
.token.class-name {
color: #DD4A68;
}
.token.regex,
.token.important,
.token.variable {
color: #5c2699;
}
.token.important,
.token.bold {
font-weight: bold;
}
.token.italic {
font-style: italic;
}
</style>
<style type="text/css">
body {
font-family: sans-serif;
max-width: 800px;
margin: auto;
padding: 1em;
line-height: 1.5;
box-sizing: border-box;
}
body, .footnotes, code { font-size: .9em; }
li li { font-size: .95em; }
*, *:before, *:after {
box-sizing: inherit;
}
pre, img { max-width: 100%; }
pre, pre:hover {
white-space: pre-wrap;
word-break: break-all;
}
pre code {
display: block;
overflow-x: auto;
}
code { font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Monaco, monospace; }
:not(pre) > code, code[class] { background-color: #F8F8F8; }
code.language-undefined, pre > code:not([class]) {
background-color: inherit;
border: 1px solid #eee;
}
table {
margin: auto;
border-top: 1px solid #666;
}
table thead th { border-bottom: 1px solid #ddd; }
th, td { padding: 5px; }
thead, tfoot, tr:nth-child(even) { background: #eee; }
blockquote {
color: #666;
margin: 0;
padding-left: 1em;
border-left: 0.5em solid #eee;
}
hr, .footnotes::before { border: 1px dashed #ddd; }
.frontmatter { text-align: center; }
#TOC .numbered li { list-style: none; }
#TOC .numbered { padding-left: 0; }
#TOC .numbered ul { padding-left: 1em; }
table, .body h2 { border-bottom: 1px solid #666; }
.body .appendix, .appendix ~ h2 { border-bottom-style: dashed; }
.footnote-ref a::before { content: "["; }
.footnote-ref a::after { content: "]"; }
section.footnotes::before {
content: "";
display: block;
max-width: 20em;
}
@media print {
body {
font-size: 12pt;
max-width: 100%;
}
tr, img { page-break-inside: avoid; }
}
@media only screen and (min-width: 992px) {
pre { white-space: pre; }
}
</style>
</head>
<body>
<div class="frontmatter">
<div class="title"><h1></h1></div>
<div class="author"><h2></h2></div>
<div class="date"><h3></h3></div>
</div>
<div class="body">
<pre><code class="language-r">set.seed(42)
cl <- kmeans(iris[,-5], 3)
plot(iris[,-5], col = cl$cluster)
points(cl$centers, col = 1:3, pch = 8)
</code></pre>
<p><img src="data:image/png;base64,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
没有合适的资源?快使用搜索试试~ 我知道了~
r语言数据分析案例-documentation.rar
共95个文件
md:47个
html:47个
png:1个
需积分: 5 0 下载量 71 浏览量
2024-10-08
07:54:45
上传
评论
收藏 313KB RAR 举报
温馨提示
r语言数据分析案例-documentation.rar
资源推荐
资源详情
资源评论
收起资源包目录
documentation.rar (95个子文件)
documentation
insertion_sort.md 396B
k_means.md 139B
dbscan_clustering.md 378B
data_normalization_standardization.md 21KB
comb_sort.md 549B
binary_insertion_sort.html 4KB
data_normalization_standardization.html 24KB
xgboost.html 6KB
comb_sort.html 4KB
heirarchical_clustering.md 141B
radix_sort.html 4KB
kmeans_clustering.html 125KB
insertion_sort.html 4KB
linear_search.md 753B
knn.md 559B
k_folds.md 755B
decision_tree.html 4KB
light_gbm.md 2KB
naive_bayes.md 575B
heirarchical_clustering.html 25KB
ann.html 5KB
topological_sort.md 1KB
stooge_sort.md 556B
wiggle_sort.md 714B
knn.html 4KB
wiggle_sort.html 4KB
dbscan_clustering.html 4KB
pancake_sort.html 5KB
quick_sort.md 633B
gmm.html 4KB
bubble_sort.html 4KB
ann.md 2KB
data_processing.md 6KB
data_processing.html 10KB
topological_sort.html 5KB
stooge_sort.html 4KB
binary_search.html 4KB
linearregressionrawr.md 356B
svm.html 4KB
figure
unnamed-chunk-1-1.png 92KB
dimensionality_reduction_algorithms.md 358B
cocktail_sort.md 1KB
radix_sort.md 462B
shell_sort.md 980B
pam.md 7KB
merge_sort.md 961B
kmeans_clustering.md 189B
gmm.md 506B
lasso.md 2KB
bucket_sort.md 1KB
merge_sort.html 4KB
svm.md 554B
multiple_linear_regression.html 4KB
logistic_regression_2.md 613B
selection_sort.md 584B
linear_regression.md 1KB
quick_sort.html 4KB
naive_bayes.html 4KB
bubble_sort.md 411B
odd_even_sort.md 961B
apriori.html 5KB
k_means.html 3KB
apriori.md 1KB
random_forest.md 612B
shell_sort.html 4KB
cycle_sort.md 1KB
cocktail_sort.html 5KB
dimensionality_reduction_algorithms.html 4KB
linear_regression.html 5KB
logistic_regression_2.html 4KB
cycle_sort.html 5KB
heap_sort.html 5KB
counting_sort.md 632B
selection_sort.html 4KB
linearregressionrawr.html 4KB
kmeans_raw_r.md 2KB
xgboost.md 2KB
kmeans_raw_r.html 5KB
lasso.html 5KB
logistic_regression.html 4KB
binary_search.md 933B
odd_even_sort.html 4KB
pancake_sort.md 1KB
counting_sort.html 4KB
light_gbm.html 6KB
multiple_linear_regression.md 752B
bucket_sort.html 5KB
decision_tree.md 559B
k_folds.html 4KB
linear_search.html 4KB
heap_sort.md 1KB
random_forest.html 4KB
pam.html 10KB
binary_insertion_sort.md 1KB
logistic_regression.md 625B
共 95 条
- 1
资源评论
蜡笔小流
- 粉丝: 2360
- 资源: 1216
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- 跨域声学到发音器官反演特征用于失语症语音识别
- ESG评级与信用评级相关性及其对企业信用风险预警作用
- 网上蛋糕销售-JAVA-基于Spring Boot框架的网上蛋糕销售系统设计与实现
- uniapp仿微信聊天界面(vue3组合式版本)icon图片
- springboot基于Web足球青训俱乐部管理后台系统开发(代码+数据库+LW)
- 房屋租赁-JAVA-基于springBoot房屋租赁系统设计与实现
- 遥感影像共享-JAVA-基于SpringBoot的遥感影像共享系统设计与实现
- 自习室系统-JAVA-基于springboot的自习室座位预约系统设计与实现
- 人工智能大作业-人脸识别
- 小区停车场-JAVA基于springBoot的小区停车场管理系统设计与实现
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功