Abstract
Dimensionality reduction has been widely developed for machine learning and if we consider features extracted from images, approach with which the data needs to be processed should be unambiguous. In this paper we will be discussing some of the dimensionality reduction techniques on dataset, which could be used for training any classification model to recognize which class the image belongs and provide mathematical acumen behind them.
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Khan, A.R., Rakesh, N., Matam, R. (2020). Dimensionality Reduction for Insect Bites Pattern Recognition. In: Somani, A.K., Shekhawat, R.S., Mundra, A., Srivastava, S., Verma, V.K. (eds) Smart Systems and IoT: Innovations in Computing. Smart Innovation, Systems and Technologies, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-13-8406-6_9
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DOI: https://doi.org/10.1007/978-981-13-8406-6_9
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