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20172021
most citedA convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation

53 citations · 172 across the 13 of their papers we have counts for

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2 papers · 1 filter

stat.ME2019★ 1 cited

CS Sparse K-means: An Algorithm for Cluster-Specific Feature Selection in High-Dimensional Clustering

Xiangrui Zeng, Hongyu Zheng

Feature selection is an important and challenging task in high dimensional clustering. For example, in genomics, there may only be a small number of genes that are differentially e…

stat.ME2019★ 1 cited

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…