2 papers
stat.ML2019
A sparse negative binomial mixture model for clustering RNA-seq count data
Tanbin Rahman, Yujia Li, Tianzhou Ma +2
Clustering with variable selection is a challenging yet critical task for modern small-n-large-p data. Existing methods based on sparse Gaussian mixture models or sparse K-means pr…
stat.ME2019
Simultaneous Estimation of Number of Clusters and Feature Sparsity in Clustering High-Dimensional Data
Yujia Li, Xiangrui Zeng, Chien-Wei Lin +1
Estimating the number of clusters (K) is a critical and often difficult task in cluster analysis. Many methods have been proposed to estimate K, including some top performers using…