Comments on: The K-Means Clustering Machine Learning Algorithm

By: themindflow.eu

themindflow.eu — Fri, 30 Dec 2011 11:04:32 +0000

#6: google for “document classification”. It is most often done with supervised learning algorithms, namely Naive Bayes. Dont worry, it is almost as easy to grasp as k-means .

By: anichkuwar

anichkuwar — Wed, 07 Dec 2011 19:10:49 +0000

hey..great post..
but i was just wondering..if we were given around 20,000 articles..and we need to cluster them acc to their category say music,movies,news,etc,. (obviously two intersecting cluster can be used for recommendation)..but how would i do that ??
i am not able to start code..as soon as i start coding, i again end up reading algorithms..
so can you help me in this ??
One more doubt don’t you think this approach would be complex in real time scenario and will have higher computation time ??

By: bcmoney

bcmoney — Fri, 16 Sep 2011 17:49:44 +0000

Great info, I don’t suppose you have a link to your JS or PHP implementations of the K-Means Clustering algorithm?

By: John Syrinek

John Syrinek — Tue, 12 Jul 2011 05:53:49 +0000

I just wrote a quick k-cluster algorithm in PHP for demo purposes: http://johntron.com/programming/k-cluster-algorithm-in-php/

By: A quick overview of machine learning techniques « puremango.co.uk

A quick overview of machine learning techniques « puremango.co.uk — Sat, 27 Nov 2010 16:43:41 +0000

[...] Categorisation techniques allow you to group things with similar attributes together. For example, if gender, eye colour and bank balance are attributes of people, we can plot these into a 3 dimensional space and automatically identify clusters of people with similar attributes. Perhaps we’d find that blue eyed people are generally richer. Categorisation can reveal traits and connections in your data that you hadn’t even thought about before. Once we’ve identified clusters, we can also quickly assign new people to the clusters. So when a new person arrives, we can quickly see whether they’re closer to the ‘rich and blue eyed’ box or the ‘poor and male’ box. Imagine that we could cluster web pages, with topics as the dimensions. Then when we see a new web page we can quickly assign it a likely topic. I’ve already spoken about one categorisation technique called k-means clustering. [...]

By: hrushi

hrushi — Wed, 22 Sep 2010 09:33:38 +0000

i want kmeans clustering for n dimensions with large ste of data

By: Javascript K-Mean algorithm « My Messed Up Mind

Javascript K-Mean algorithm « My Messed Up Mind — Tue, 06 Apr 2010 20:35:51 +0000

[...] reading an article by Howard Yeend (Pure Mango) I decided I would try to write a version of the basic learn [...]

By: Howard Yeend

Howard Yeend — Fri, 19 Mar 2010 08:13:33 +0000

:D Thanks!

By: Happy User

Happy User — Fri, 19 Mar 2010 05:48:03 +0000

Great writeup!