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@article{157296,
        author = {Pritika Mehra and Mini Singh Ahuja},
        title = {A Survey of Dimensionality Reduction methods for multidimensional data},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {6},
        pages = {567-571},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157296},
        abstract = {Multidimensional data is more prevalent due to the rapid expansion of computational biometric and e-commerce applications. As a result, mining multidimensional data is a crucial issue with significant practical implications. The curse of dimensionality and, more importantly, the meaning of the similarity measure in the high dimension space are two specific difficulties that arise while mining high-dimensional data. The challenges and methods for dimensionality reduction of multidimensional data are surveyed in this work.},
        keywords = {Dimensionality Reduction, High Dimensional data, principle component analysis, autoencoders},
        month = {},
        }