Clusters – The Official Blog of BigML.com

K-means – – Finding Anomalies while Clustering

On November 4th and 5th, BigML joined the Qatar Computing Research Institute (QCRI), part of Hamad Bin Khalifa University, to bring

Raw information is useless if you don’t understand what it means, but sometimes there is just so much it’s hard

(Thanks to Alex Schwarm of dnb.com for bringing to our attention the Pham, Dimov, and Nguyen paper, which is the subject of

The venerable K-means algorithm is the a well-known and popular approach to clustering. It does, of course, have some drawbacks.

We have recently announced our Dynamic Scatterplot capability, which is one of many goodies to have come out of BigML

Before your sunburns subside and the leaves begin to turn from green to brown, the BigML team is excited to

After a few weeks in Beta, we’ve now released BigML Clusters in final form into the BigML interface and also

The BigML team has been hard at work the past few months. While we haven’t figured out how to work