Search for tag: "distances"

4.a

First video on Informed Search Algorithms.

From  Claudia-Elena Chirita on January 18th, 2021 0 likes 222 plays 0  

ML2: Dimensionality Reduction

In this second video, we motivate why it is useful to reduce the dimensionality of your data, and describe how this can be done linearly, using a transformation matrix. We describe a setup whereby we…

From  Elliot Crowley on November 5th, 2020 0 likes 7 plays 0  

Lance-Williams algorithm

Lance-Williams algorithm

From  Nigel Goddard on September 25th, 2016 1 likes 1,811 plays 0  

Agglomerative clustering - dendrogram

Agglomerative clustering - dendrogram

From  Nigel Goddard on September 25th, 2016 1 likes 1,717 plays 0  

When principal components fail

When principal components fail

From  Nigel Goddard on September 25th, 2016 1 likes 1,530 plays 0  

Why we maximize variance in PCA

Why we maximize variance in PCA

From  Nigel Goddard on September 25th, 2016 2 likes 2,235 plays 0  

Summary

Summary

From  Nigel Goddard on September 25th, 2016 0 likes 1,560 plays 0  

Breaking ties between nearest neighbors

Breaking ties between nearest neighbors

From  Nigel Goddard on September 21st, 2016 1 likes 1,735 plays 0  

Nearest-neighbor regression algorithm

Nearest-neighbor regression algorithm

From  Nigel Goddard on September 21st, 2016 1 likes 1,702 plays 0  

Nearest-neighbor classification algorithm

Nearest-neighbor classification algorithm

From  Nigel Goddard on September 21st, 2016 1 likes 1,731 plays 0  

Detect Outliers by Visualising the Data

Detect Outliers by Visualising the Data

From  Nigel Goddard on September 17th, 2016 1 likes 1,817 plays 0  

Kernels for SVMs

Kernels for SVMs

From  Nigel Goddard on September 8th, 2016 1 likes 2,056 plays 0