Clustering results based on PCA-K-medoids algorithm.

Clustering results based on PCA-K-medoids algorithm.

<p>(a)-(d) represent the perceived risk clustering results for headphones, mobile phones, air conditioners, and facial cream, respectively.</p>

Saved in:
Bibliographic Details
Main Author: Lin Qi (128224) (author)
Other Authors: Yunjie Xie (5126780) (author), Qianqian Zhang (587342) (author), Jian Zhang (1682) (author), Yanhong Ma (163685) (author)
Published: 2025
Subjects:
Biotechnology
Cancer
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
xlink "> e
dataset containing 262
commerce faces challenges
752 online reviews
model &# 8217
predict perceived risk
influence perceived risk
extract thematic features
analyzing review content
feature extraction phase
perceived risk
thematic features
review content
risk samples
prediction phase
online shopping
textcnn model
predictive model
content homogenization
feature fusion
feature characteristics
critical feature
xgboost algorithm
website information
test set
skincare products
skin safety
significant differences
paper aims
merchant characteristics
interpretability analysis
f1 score
electronic products
different contexts
86 %,
85 %.
84 %,
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items