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Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval etc.

10 votes
3 answers
4k views

Log file analysis: extracting information part from value part

I was thinking about using string kernels, but it is intended for clustering ... and cluseting is not applicable here (I don't know the number of different types of messages and eventhough, it would be …
Michael Hooreman's user avatar
1 vote
Accepted

Devices behavior in one continuous variable vs events rate

Done with K-means clustering with descriptive statistics as features: In short, I've tried the idea described in the question, even if I was thinking it won't work. Let the experience talk... … columns are, computed on the correponding device's measure value: Arithmetic mean Median First quartille Third quartille Minimum Maximum Range Standard deviation With this matrix, I've applied K-means clustering
Michael Hooreman's user avatar
1 vote
1 answer
129 views

Devices behavior in one continuous variable vs events rate

I have devices on which I have time series data of one continuous variable. I have to evaluate the relation between the profile of that variable on those devices and "events". Those events are given …
Michael Hooreman's user avatar