"Spaghetti" PCA analysis: An extension of principal components analysis to time dependent interval data

@article{Irpino2006SpaghettiPA,
  title={"Spaghetti" PCA analysis: An extension of principal components analysis to time dependent interval data},
  author={Antonio Irpino},
  journal={Pattern Recognition Letters},
  year={2006},
  volume={27},
  pages={504-513}
}
Interval data are generally defined by the upper and the lower value assumed by a unit for a continuous variable. In our approach we introduce a special type of interval description depending on time. Each observation is characterized by an oriented interval of values with a starting and an ending value for each period of observation: for example, the opening and the closing price of a stock in a financial market in a day or a week, the initial and the final expression of a gene at the… CONTINUE READING

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