Sub:

네트워크분석,network_analysis

포인터분석,pointer_analysis - 포인터,pointer

판별분석,discriminant_analysis - VG:판별분석,discriminant_analysis
주성분분석,principal_component_analysis,PCA - VG:주성분분석,principal_component_analysis,PCA

데이터분석,data_analysis 자료분석,data_analysis =,data_analysis =,data_analysis . data_analysis
{

Sub:
topological_data_analysis (TDA)

도구는
R
Pandas - VG:팬더스,Pandas
소문자인듯... mk 팬더스,pandas ?
NumPy - VG:넘파이,NumPy
Matplotlib - VG:맷플럿립,Matplotlib
시본,Seaborn
Spreadsheet (Excel, ...)
SAS
SPSS
Matlab
... Google:데이터 분석 도구

방법은
cluster_analysis =,cluster_analysis =,cluster_analysis . cluster_analysis
clustering =,clustering =,clustering . clustering
{
clustering
클러스터링
덩이짓기 ?
덩이만들기 ?

cluster_analysis =,cluster_analysis . cluster_analysis
cluster analysis
클러스터분석
덩이분석 ?

WpSp:Cluster_analysis = https://simple.wikipedia.org/wiki/Cluster_analysis
{

// 클러스터,cluster page made 2023-08-15; TOMERGE
cluster
{
클러스터 / 덩이 / 뭉치 / 부류 ? / ....
cluster = objects in the same group.
"objects in the same group(cluster) are more similar to each other than to objects in other groups(clusters) in some way."
즉 클러스터를 나누는(분류,classification하는) 기준은 유사도,similarity. (VG:유사도,similarity)... mk page 유사도,similarity?
}

data_mining 에서는 흔한 일이다.

} //wpsp cluster_analysis

} //cluster_analysis

Up: 데이터과학,data_science

exploratory_data_analysis =,exploratory_data_analysis =,exploratory_data_analysis . exploratory_data_analysis | =,EDA EDA
{
exploratory data analysis
exploratory data analysis (EDA)
탐색적 데이터 분석 (ㄷㅎㅈ)



WtEn:exploratory_data_analysis ?
WpSp:Exploratory_data_analysis ?
WpEn:Exploratory_data_analysis ?


Ggl:exploratory data analysis
Ndict:exploratory data analysis
Naver:exploratory data analysis

}

lexical_analysis = lexing = tokenization .... =,lexical_analysis =,lexing =,tokenization .
{
lexical analysis, lexing, tokenization (wpen)

MKLINK
토큰,token
lexer =,lexer . lexer
tokenizer =,tokenizer . tokenizer
WtEn:tokenizer토큰화기 ? 토큰구분기 ?
scanner =,scanner . scanner
WtEn:scanner
스캐너,scanner ?? 이미지입력장치와 pagename을 구분하면 좋을텐데
Ndict:scanner


Twins:

WpKo:낱말_분석
= https://ko.wikipedia.org/wiki/낱말_분석
"낱말 분석을 수행하는 프로그램은 렉서(lexer), 토크나이저(tokenizer)1, 스캐너(scanner)라고 부르지만 스캐너는 렉서의 1단계"

WpEn:Lexical_analysis
= https://en.wikipedia.org/wiki/Lexical_analysis

...
Ndict:lexical analysis
Naver:lexical analysis
Google:lexical analysis
Bing:lexical analysis
YouTube:lexical analysis
"lexical analysis"

}

semantic_analysis =,semantic_analysis . semantic_analysis
{
or context_sensitive_analysis (wpen)

semantic analysis
context semantic analysis
의미분석 ?
의미론분석 ?
의미론적분석 ?


WpKo:의미_분석
WpEn:Semantic_analysis_(linguistics)
WpEn:Semantic_analysis_(compilers)
semantic+analysis
}

프로그램분석,program_analysis
{
프로그램,program

Sub:

static_program_analysis
{
WpKo:정적_프로그램_분석
WpEn:Static_program_analysis
= https://en.wikipedia.org/wiki/Static_program_analysis
"static program analysis (or static_analysis) is the analysis of computer programs performed without executing them"
}

dynamic_program_analysis
{
WpKo:동적_프로그램_분석
WpEn:Dynamic_program_analysis
}


Inter:
WpKo:프로그램_분석
}

requirement_analysis =,requirement_analysis =,requirement_analysis . requirement_analysis
{
requirement analysis
요구사항 분석
요구 분석
필요사항 분석
...

필요한 것: 명시적인 specifation esp. requirement_specifation

Zeta:요구사항_분석
... Ndict:requirement analysis
requirement+analysis
}

다변량분석,multivariate_analysis =다변량분석,multivariate_analysis =,multivariate_analysis 다변량분석 multivariate_analysis
{
multivariate analysis

변량,variate

WtEn:multivariate_analysis

Ndict:다변량분석
pagename via KmsK:다변량분석
Ggl:multivariate analysis
Naver:multivariate analysis
Bing:multivariate analysis

Up: 다변량,multivariate =,multivariate . multivariate { WtEn:multivariate Sub: 다변량분석,multivariate_analysis } 분석,analysis
다변량분석
}

ADDHERE

1. 밀접

2. 같은 영단어 analysis


Textbooks

RCA
Real and Complex Analysis
Walter Rudin
Walter_Rudin


3rd edition


}
Retrieved from http://red-ruby.com/wiki/wiki.php/분석,analysis
last modified 2024-02-23 06:28:25