많은 양의 데이터를 데이터를 본질을 해치지 않는 저차원으로 압축하는 것
Method for compressing a lot of data into something that captures the essence of the original data
Method for compressing a lot of data into something that captures the essence of the original data
mklink
고유값,eigenvalue
고유벡터,eigenvector
공분산행렬,covariance_matrix curr see 공분산,covariance
Kosambi–Karhunen–Loève theorem ... or
Karhunen–Loève theorem .... KKL_theorem KL_theorem ?
{
Kosambi–Karhunen–Loève theorem
고유값,eigenvalue
고유벡터,eigenvector
공분산행렬,covariance_matrix curr see 공분산,covariance
Kosambi–Karhunen–Loève theorem ... or
Karhunen–Loève theorem .... KKL_theorem KL_theorem ?
{
Kosambi–Karhunen–Loève theorem
//wpen
확률과정,stochastic_process론의 정리,theorem.
확률과정을 직교함수,orthogonal_function들의 무한한 선형결합,linear_combination으로 표현,representation하는 것에 대한 -
analogous to: 함수,function을 bounded_interval(유계구간? curr see 구간,interval) 푸리에_급수,Fourier_series ddddddddd
확률과정,stochastic_process론의 정리,theorem.
확률과정을 직교함수,orthogonal_function들의 무한한 선형결합,linear_combination으로 표현,representation하는 것에 대한 -
analogous to: 함수,function을 bounded_interval(유계구간? curr see 구간,interval) 푸리에_급수,Fourier_series ddddddddd
tmp links ko ¶
tmp links en ¶
Principal Component Analysis Explained Visually
https://setosa.io/ev/principal-component-analysis/
https://news.ycombinator.com/item?id=27017675
https://setosa.io/ev/principal-component-analysis/
https://news.ycombinator.com/item?id=27017675
tmp ¶
tmp video{
StatQuest: Principal Component Analysis 주성분 분석 (PCA)
https://www.youtube.com/watch?v=FgakZw6K1QQ
StatQuest: Principal Component Analysis 주성분 분석 (PCA)
https://www.youtube.com/watch?v=FgakZw6K1QQ