23 citations · 46 across the 16 of their papers we have counts for
4 papers · 1 filter
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification
Junjie Dong, Mudi Jiang, Lianyu Hu +1
Sequence classification has numerous applications in various fields. Despite extensive studies in the last decades, many challenges still exist, particularly in pattern-based metho…
Interpretable Sequence Clustering
Junjie Dong, Xinyi Yang, Mudi Jiang +2
Categorical sequence clustering plays a crucial role in various fields, but the lack of interpretability in cluster assignments poses significant challenges. Sequences inherently l…
Clusterability test for categorical data
Lianyu Hu, Junjie Dong, Mudi Jiang +2
The objective of clusterability evaluation is to check whether a clustering structure exists within the data set. As a crucial yet often-overlooked issue in cluster analysis, it is…
Personalized Interpretable Classification
Zengyou He, Pengju Li, Yifan Tang +3
How to interpret a data mining model has received much attention recently, because people may distrust a black-box predictive model if they do not understand how the model works. H…