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What, Why and How of t-SNE
Imagine the data we create in a single day; the news generated, posts, videos, images on social media platforms, messages on communication channels, websites which help business and many more… Huge! Right?
Now, imagine the task of analyzing this humongous data and obtaining useful insights to make data-driven decisions. Complex! Right?
What we can do about this problem is that we can remove redundant information and analyze only the high impact information.
Dimensionality reduction comes into the picture at this very initial stage of any data analysis or data visualization.
Dimensionality Reduction means projecting data to a lower-dimensional space, which makes it easier for analyzing and visualizing data. However, the reduction of dimension requires a trade-off between accuracy (high dimensions) and interpretability (low…
