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Divisive clustering (top-down)

Divisive clustering (top-down)

From  Nigel Goddard on September 25th, 2016 1 likes 1,948 plays 0  

Eigenvalue = variance along eigenvector

Eigenvalue = variance along eigenvector

From  Nigel Goddard on September 25th, 2016 1 likes 1,785 plays 0  

Paired evaluation and Rand index

Paired evaluation and Rand index

From  Nigel Goddard on September 25th, 2016 1 likes 1,907 plays 0  

The K-means algorithm

The K-means algorithm

From  Nigel Goddard on September 25th, 2016 3 likes 1,927 plays 0  

Overview

Overview

From  Nigel Goddard on September 25th, 2016 3 likes 2,059 plays 0  

Computational complexity of finding nearest-neighbors

Computational complexity of finding nearest-neighbors

From  Nigel Goddard on September 21st, 2016 1 likes 2,168 plays 0  

Inverted index

Inverted index

From  Nigel Goddard on September 21st, 2016 1 likes 1,718 plays 0  

Locality sensitive hashing (LSH)

Locality sensitive hashing (LSH)

From  Nigel Goddard on September 21st, 2016 1 likes 1,964 plays 0  

K-d tree algorithm

K-d tree algorithm

From  Nigel Goddard on September 21st, 2016 1 likes 2,089 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 2,891 plays 0  

Parzen windows, kernels and SVM

Parzen windows, kernels and SVM

From  Nigel Goddard on September 21st, 2016 1 likes 2,136 plays 0  

Nearest-neighbor regression algorithm

Nearest-neighbor regression algorithm

From  Nigel Goddard on September 21st, 2016 1 likes 1,814 plays 0  

Nearest-neighbor classification algorithm

Nearest-neighbor classification algorithm

From  Nigel Goddard on September 21st, 2016 1 likes 1,854 plays 0