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Real life doesn't fit into neat categories - Dr Mike Pound on some different ways to regress your One of the cleanest ways to cut down a search space when working out point proximity! Mike Pound explains K-Dimension Trees. Too much data? Dr Mike Pound on how best to reduce your dataset. This is part 5 of the

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Last Updated: June 16, 2026

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Data Analysis 7: Clustering - Computerphile

Data Analysis 7: Clustering - Computerphile

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Data Analysis 8: Classifying Data - Computerphile

Data Analysis 8: Classifying Data - Computerphile

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Data Analysis 9: Data Regression - Computerphile

Data Analysis 9: Data Regression - Computerphile

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Real life doesn't fit into neat categories - Dr Mike Pound on some different ways to regress your

K-d Trees - Computerphile

K-d Trees - Computerphile

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One of the cleanest ways to cut down a search space when working out point proximity! Mike Pound explains K-Dimension Trees.

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