TimeCluster: Dimension Reduction Applied to Temporal Data For Visual Analytics

Hi, I have just published my latest article in the medium. This article is about proposing an advanced algorithm for forecasting time series and reducing high dimensionality. The researchers used an auto-encoder architecture with convolutional operators to deal with the complexity of sequential data, and amazingly they were successful.
Due to the fact that time-series data and applications are everywhere and up to date, they have become more challenging for most industries. We can use this algorithm for both forecasting …

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