Confident Clustering via PCA Compression Ratio and Its Application to Single-cell RNA-seq Analysis. (arXiv:2205.09849v1 [cs.LG])

Unsupervised clustering algorithms for vectors has been widely used in the
area of machine learning. Many applications, including the biological data we
studied in this paper, contain some boundary datapoints which show combination
properties of two underlying clusters and could lower the performance of the
traditional clustering algorithms. We develop a confident clustering method
aiming to diminish the influence of these datapoints and improve the clustering
results. Concretely, for a list of datapoints, we give two clustering results.
The first-round …

analysis application arxiv clustering compression rna rna-seq