Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.
DTW clustering multiple time series
I want to cluster many (thousands) of time series using DTW or similar.
I see K-Medoids in RapidMiner but I can’t figure out how to pass it multiple time series. I have a single attribute which measures the size of a particular event. None of the time series are the same length, none of the time series cover exactly the same period (some last minutes some cover years), however the type of event is the same and all exist within a 2.5 year timeframe. I want to cluster the time series by how similar the series are.
Tagged:
0
Answers
Then you probably are also going to want to normalize given that many distance metrics are sensitive to differences in absolute magnitude from one attribute to another.
Lindon Ventures
Data Science Consulting from Certified RapidMiner Experts