Clustering-to-Improve-Classification
所属分类：特征抽取
开发工具：Jupyter Notebook
文件大小：311KB
下载次数：0
上传日期：2023-05-08 23:53:07
上 传 者：
sh-1993
说明： 设计了一个用于从头开始特征提取的层次聚类框架，应用于使用聚类分析的90K+行数据...
(Devised a hierarchical clustering framework for feature extraction from scratch, applied to 90K+ rows data using cluster centroids. Transformed data enhanced KNN classifier performance from 90% to 97%, confirmed via K-fold cross-validation & base classification comparison.)
文件列表:
Report.pdf (333281, 2023-05-09)
classification.ipynb (34024, 2023-05-09)
# Clustering-to-Improve-Classification
Devised a hierarchical clustering framework for feature extraction from scratch, applied to 90K+ rows data using cluster centroids. Transformed data enhanced KNN classifier performance from 90% to 97%, confirmed via K-fold cross-validation & base classification comparison.
近期下载者：
相关文件：
收藏者：