PRESENTED BY
dixie
3 SLIDES
205 VUES
30 LIKES
TRAIN
DESCRIPTION
TRAIN. Y_TRAIN. X. X_TRAIN: 114*2. D=cross_distance(X,centers) H=exp(-D/200)*a Y_HAT=H>0.5. centers=my_kmeans[X_TRAIN,3,]. D=cross_distance(X_TRAIN,centers). a=pinv(exp(-D))*Y_TRAIN. Y_HAT. TEST. X. D= cross_distance ( X,centers ). centers. H=exp(-D/200)*a). a. Y_HAT=H>0.5. Y_HAT.
Download
1 / 3
Télécharger la présentation 
TRAIN
An Image/Link below is provided (as is) to download presentation
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.
Content is provided to you AS IS for your information and personal use only.
Download presentation by click this link.
While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
During download, if you can't get a presentation, the file might be deleted by the publisher.
E N D
Presentation Transcript
TRAIN Y_TRAIN X X_TRAIN: 114*2 D=cross_distance(X,centers) H=exp(-D/200)*a Y_HAT=H>0.5 centers=my_kmeans[X_TRAIN,3,] D=cross_distance(X_TRAIN,centers) a=pinv(exp(-D))*Y_TRAIN Y_HAT
TEST X D=cross_distance(X,centers) centers H=exp(-D/200)*a) a Y_HAT=H>0.5 Y_HAT
軟作期末考內容 • While loop • 整數根 • 二進位 十進位 • 求根(binary search) • Recursive program • 階乘 • Hanoi • Fibonacci • Determinant • K-means method • Classification • Function approximation • 河內塔 • 填充式
More Related