thefactmachine.com

The Fact Machine | A blog about machine learning and data visualisation

A blog about machine learning and data visualisation. Hexagons allow bivariate data to be binned as a regular tessellation. This has advantages compared to tessellating with squares. Using R graphics, two different techniques are used to visualise daily data over a three year period. 55,000 temperature observations are aggregated into 13,000 bins. These are displayed in 3 dimensions using Autodesk Maya. Cosine similarity enables the comparison of high dimensional vectors to be efficiently calculated with...

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The Fact Machine | A blog about machine learning and data visualisation | thefactmachine.com Reviews

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A blog about machine learning and data visualisation. Hexagons allow bivariate data to be binned as a regular tessellation. This has advantages compared to tessellating with squares. Using R graphics, two different techniques are used to visualise daily data over a three year period. 55,000 temperature observations are aggregated into 13,000 bins. These are displayed in 3 dimensions using Autodesk Maya. Cosine similarity enables the comparison of high dimensional vectors to be efficiently calculated with...

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1 menu

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3 visualisation

4 spatial hexagons

5 time series visualisation

6 3d histogram

7 principle components

8 k means clustering

9 thin plate splines

10 machine learning

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The Fact Machine | A blog about machine learning and data visualisation | thefactmachine.com Reviews

https://thefactmachine.com

A blog about machine learning and data visualisation. Hexagons allow bivariate data to be binned as a regular tessellation. This has advantages compared to tessellating with squares. Using R graphics, two different techniques are used to visualise daily data over a three year period. 55,000 temperature observations are aggregated into 13,000 bins. These are displayed in 3 dimensions using Autodesk Maya. Cosine similarity enables the comparison of high dimensional vectors to be efficiently calculated with...

INTERNAL PAGES

thefactmachine.com

1

K Means Clustering | The Fact Machine

http://www.thefactmachine.com/k-means-clustering

A blog about machine learning and data visualisation. Hexagons allow bivariate data to be binned as a regular tessellation. This has advantages compared to tessellating with squares. Using R graphics, two different techniques are used to visualise daily data over a three year period. 55,000 temperature observations are aggregated into 13,000 bins. These are displayed in 3 dimensions using Autodesk Maya. Cosine similarity enables the comparison of high dimensional vectors to be efficiently calculated with...

2

RDFS and Inferencing | The Fact Machine

http://www.thefactmachine.com/rdfs-and-inferencing

A blog about machine learning and data visualisation. Hexagons allow bivariate data to be binned as a regular tessellation. This has advantages compared to tessellating with squares. Using R graphics, two different techniques are used to visualise daily data over a three year period. 55,000 temperature observations are aggregated into 13,000 bins. These are displayed in 3 dimensions using Autodesk Maya. Cosine similarity enables the comparison of high dimensional vectors to be efficiently calculated with...

3

The Case for Data | The Fact Machine

http://www.thefactmachine.com/the-case-for-data

A blog about machine learning and data visualisation. Hexagons allow bivariate data to be binned as a regular tessellation. This has advantages compared to tessellating with squares. Using R graphics, two different techniques are used to visualise daily data over a three year period. 55,000 temperature observations are aggregated into 13,000 bins. These are displayed in 3 dimensions using Autodesk Maya. Cosine similarity enables the comparison of high dimensional vectors to be efficiently calculated with...

4

About | The Fact Machine

http://www.thefactmachine.com/about

A blog about machine learning and data visualisation. Hexagons allow bivariate data to be binned as a regular tessellation. This has advantages compared to tessellating with squares. Using R graphics, two different techniques are used to visualise daily data over a three year period. 55,000 temperature observations are aggregated into 13,000 bins. These are displayed in 3 dimensions using Autodesk Maya. Cosine similarity enables the comparison of high dimensional vectors to be efficiently calculated with...

5

Spatial Hexagons | The Fact Machine

http://www.thefactmachine.com/binning-spatial-data-with-hexagons

A blog about machine learning and data visualisation. Hexagons allow bivariate data to be binned as a regular tessellation. This has advantages compared to tessellating with squares. Using R graphics, two different techniques are used to visualise daily data over a three year period. 55,000 temperature observations are aggregated into 13,000 bins. These are displayed in 3 dimensions using Autodesk Maya. Cosine similarity enables the comparison of high dimensional vectors to be efficiently calculated with...

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A blog about machine learning and data visualisation. Hexagons allow bivariate data to be binned as a regular tessellation. This has advantages compared to tessellating with squares. Using R graphics, two different techniques are used to visualise daily data over a three year period. 55,000 temperature observations are aggregated into 13,000 bins. These are displayed in 3 dimensions using Autodesk Maya. Cosine similarity enables the comparison of high dimensional vectors to be efficiently calculated with...

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