Proximity scaling methods such as multidimensional scaling represent objects in a low-dimensional configuration so that fitted object distances optimally approximate object proximities. Besides findin

DataCite Commons2021-05-25 更新120

Classifier combinations

机器学习

分类器组合

Ref Fig 4. combinations.zipcontains text files that report the outputs of best combination for each cluster

figshare.unimelb.edu.au2020-06-16 更新60

MultiK: An Automated Tool to Infer Optimal Cluster Numbers in Single-Cell RNA Sequencing Data. MultiK: An Automated Tool to Infer Optimal Cluster Numbers in Single-Cell RNA Sequencing Data

单细胞RNA测序

聚类优化

This paper proposes MultiK, a data-driven tool for objective selection of multiple insightful numbers of clusters (K) from single-cell RNA-seq data. Overall design: MultiK combines multiple clustering

NIAID Data Ecosystem40

Classifier combinations

资源简介：

相关数据集