Calculating clusters with AI methods

Clever Fellow

Article from Issue 145/2012

A human observer can register clusters in a two-dimensional set of points at a glance. Artificial intelligence has a harder time getting it done; however, the relatively simple k-means method delivers usable results.

Nature lovers who tagged along with the previous edition of this column and generated a map with all US national parks might subsequently ask themselves how they can tour all these attractions using as few resources as possible. Figure 1 shows that the parks are concentrated in certain areas. A tourist can thus visit about a dozen spectacles of nature by focusing on one area during a single visit.

Buy this article as PDF

Express-Checkout as PDF
Price $2.95
(incl. VAT)

Buy Linux Magazine

Get it on Google Play

US / Canada

Get it on Google Play

UK / Australia

Related content

  • Perl: Microformats

    Microformats add generally accepted tags, such as social network connections or geodetic coordinates, to HTML pages. Automated scripts collect them and help represent the data in graphically appealing ways – for example, geodata for vacation destinations.


    Iptables gives admins the ability to set up clusters and distribute the load. But what about failover?

  • Samba for Clusters

    Samba Version 3.3 and the CTDB lock manager provide full cluster support.

  • Charly’s Column: Cluster SSH

    Charly doesn’t relish the idea of searching through the logfiles of a dozen proxy servers when page requests fail. Now that he has deployed Cluster SSH, he can pull the strings on many machines at the same time.

  • Rocks Clustering

    Rocks offers an easy solution for clustering with virtual machines.

comments powered by Disqus

Direct Download

Read full article as PDF:

Price $2.95


njobs Europe
Njobs Netherlands Njobs Deutschland Njobs United Kingdom Njobs Italia Njobs France Njobs Espana Njobs Poland
Njobs Austria Njobs Denmark Njobs Belgium Njobs Czech Republic Njobs Mexico Njobs India Njobs Colombia