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Divisive clustering (top-down)

Divisive clustering (top-down)

From  Nigel Goddard on September 25th, 2016 1 likes 1,701 plays 0  

Eigenvalue = variance along eigenvector

Eigenvalue = variance along eigenvector

From  Nigel Goddard on September 25th, 2016 1 likes 1,565 plays 0  

Paired evaluation and Rand index

Paired evaluation and Rand index

From  Nigel Goddard on September 25th, 2016 1 likes 1,698 plays 0  

The K-means algorithm

The K-means algorithm

From  Nigel Goddard on September 25th, 2016 3 likes 1,703 plays 0  

Overview

Overview

From  Nigel Goddard on September 25th, 2016 3 likes 1,828 plays 0  

Computational complexity of finding nearest-neighbors

Computational complexity of finding nearest-neighbors

From  Nigel Goddard on September 21st, 2016 1 likes 1,926 plays 0  

Inverted index

Inverted index

From  Nigel Goddard on September 21st, 2016 1 likes 1,502 plays 0  

Locality sensitive hashing (LSH)

Locality sensitive hashing (LSH)

From  Nigel Goddard on September 21st, 2016 1 likes 1,726 plays 0  

K-d tree algorithm

K-d tree algorithm

From  Nigel Goddard on September 21st, 2016 1 likes 1,810 plays 0  

Pros and cons of nearest-neighbor methods

Pros and cons of nearest-neighbor methods

From  Nigel Goddard on September 21st, 2016 1 likes 2,536 plays 0  

Parzen windows, kernels and SVM

Parzen windows, kernels and SVM

From  Nigel Goddard on September 21st, 2016 1 likes 1,872 plays 0  

Nearest-neighbor regression algorithm

Nearest-neighbor regression algorithm

From  Nigel Goddard on September 21st, 2016 1 likes 1,573 plays 0  

Nearest-neighbor classification algorithm

Nearest-neighbor classification algorithm

From  Nigel Goddard on September 21st, 2016 1 likes 1,594 plays 0  

Classification Error and Accuracy

Classification Error and Accuracy

From  Nigel Goddard on September 21st, 2016 0 likes 1,960 plays 0