Clustering of Time Series is Meaningless — clusters extracted from these time series are forced to obey a certain constraint that is pathologically unlikely to be satisfied by any data set, and because of this, the clusters extracted by any clustering algorithm are essentially random. While this constraint can be intuitively demonstrated with a simple illustration and is simple to prove, it has never appeared in the literature.
Learn faster. Dig deeper. See farther.
Join the O'Reilly online learning platform. Get a free trial today and find answers on the fly, or master something new and useful.
Failing Well — “What we’re trying to teach is that failure is not a bug of learning; it’s the feature,” said Rachel Simmons, a leadership development specialist in Smith’s Wurtele Center for Work and Life.