Unravelling Complexity: A Novel Approach to Manifold Learning Using oise injection

Unravelling Complexity: A Novel Approach to Manifold Learning Using Noise Injection

In the world of data science, high-dimensional data presents both a challenge and opportunity. Whilst it provides a treasure trove of relationships and patterns that can be moulded and transformed, without careful cleaning and selection it can become overwhelming to analyse and draw conclusions from: “The curse of dimensionality”. Whilst instinctively you may lean to Principal Component Analysis to embed the data to a smaller subspace, you might be …

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