I'm interested in discovering some kind of dis-associations between the periods of a time series based on its data, e.g., find some (unknown number of) periods where the data is not similar with the data from another period.Also I would like to compare the same data but over 2 years (something like DTW?).I get my data Excel as a two-column list:c1=date (one per each day of the year), c2=Data To AnalyzeSo, what algorithms could I use and in what software?Update/Later edit:I'm looking for dates as cut-off points from which the DataToAnalyze could be part of another cluster of consecutive dates. For example:2014-1-1 --> 2014-3-10are part of Cluster_1 based on DataToAnalyze. And:2014-3-11 --> 2014-5-2are part of Cluster_2 based on DataToAnalyze, and so on. So, clusters of consecutive dates should be automatically determined based on some algorithms, which is what I'm looking for. Which ones (or which software) would be applicable to this problem?
Discovering dis-associations between periods of time-series
clustering;time series