Clustering – The CASA Blog Network

Swings and Silicon Roundabouts

Posted on Thursday 14 November 2019 by Max Nathan

Did the Tech City cluster programme actually help East London tech firms? Let’s find out.Continue reading on The Startup »

Clustering, economic-development, entrepeneurship, innovation, startup

Spatial Data Mining

Posted on Saturday 20 February 2016 by doublebyte

My PechaKucha talk at DataBeers : “Visualizing Geolocated Tweets: a Spatial Data Mining Approach”.

Algorithms, Analytics, Artificial Intelligence, Big Data, Clustering, data mining, Geospatial, GIS, Machine Learning

Visualizing Micro-blogging Data

Posted on Monday 11 May 2015 by doublebyte

This time I’m at the Workshop: “Data Visualization from Different Universes”, presenting some work regarding the visualization of Tweets, using a combination of machine learning and GIS.

Clustering, data mining, GIS, Visualization

Britain’s Fracturing Political Geography

Posted on Tuesday 5 May 2015 by

The imminent UK General Election is fascinating for a host of reasons, not least because of the challenge to the long established dominance of the two main parties, Conservatives and Labour. Their share of the vote has been steadily in decline for over 50 years, from a high of 97% in 1951 to 65% in 2010-…

CASA, Clustering, Great Britain, percolation, political geography

Post-processing OPTICSxi Clustering

Posted on Thursday 26 June 2014 by doublebyte

On a previous post, I expressed my concerns regarding the results of OPTICSxi clustering. Namely, I mentioned an “annoying” spike effect, that turns out massively almost at any simulation (so massively that it is almost a “feature”). A post in … Continue reading →

algorithm, Artificial Intelligence, Clustering, data mining, ELKI, Geospatial, OPTICS, Programming, spatial

Parametrizing and interpreting OPTICSxi Clustering

Posted on Monday 23 June 2014 by doublebyte

For a while now, I have been working on the application of the OPTICS clustering, for user generated data in cities. OPTICS is a density-based algorithm that attempts to overcome some of the “weaknesses” of its most famous counterpart: DBSCAN. … Continue reading →

Artificial Intelligence, Clustering, data mining, DBSCAN, Density-based clustering, ELKI, OPTICS, OPTICxi

Clustering Geospatial Data

Posted on Friday 16 May 2014 by doublebyte

Recently I have been looking into different algorithms for the clustering geospatial data. The problem of finding “similar” regions in space, is a very interesting one, since this type of classification enables a whole range of applications (e.g.: urban development, … Continue reading →

Artificial Intelligence, Clustering, data mining, DBSCAN, ELKI, Geo Mining, Geospatial, Machine Learning, OPTICS

My Academic Research: What’s in a Name?

Posted on Friday 16 December 2011 by James Cheshire

I have spent the last few years investigating the geography of family names (also called surnames). I work with the team who assembled the UCL Department of Geography Worldnames Database that contains the names and geographic locations of over 300 million people in nearly 30 countries (a few of these are yet to be added to the website). My research has …

Clustering, europe, geodemographics, Great Britain, lasker, nei, population genetics, Resources, Surname, surnames, UCL, worldnames