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Found 3 papers, 2 papers with code
ExpertNet: A Symbiosis of Classification and Clustering
We theoretically analyze the effect of clustering on its generalization gap, and empirically show that clustered latent representations from ExpertNet lead to disentangling the intrinsic structure and improvement in classification performance.
MemStream: Memory-Based Streaming Anomaly Detection
Given a stream of entries over time in a multi-dimensional data setting where concept drift is present, how can we detect anomalous activities?
Clustering Aware Classification for Risk Prediction and Subtyping in Clinical Data
In data containing heterogeneous subpopulations, classification performance benefits from incorporating the knowledge of cluster structure in the classifier.
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