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Found 3 papers, 1 papers with code
Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder
This paper focuses on anomaly detection for multivariate time series data in large-scale fluid handling plants with dynamic components, such as power generation, water treatment, and chemical plants, where signals from various physical phenomena are observed simultaneously.
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
In this paper, we propose a clustering-friendly representation learning method using instance discrimination and feature decorrelation.
Ranked #6 on
Image Clustering
on ImageNet-10
RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets
DEC optimizes cluster assignments by pushing data more densely around centroids in latent space, but it is sometimes sensitive to the initial location of centroids, especially in the case of imbalanced data, where the minor class has less chance to be assigned a good centroid.
