Data stream clustering algorithms play a pivotal role in the analysis of rapidly accumulating and evolving data sets, particularly as technologies such as the Internet of Things expand and generate ...
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Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...
Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...
Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...