Title
Nonnegative Matrix Factorizations for Clustering and LSI: Theory and Programming,Used
Delivery time: 8-12 business days (International)
Clustering and latent semantic indexing (LSI) are the most common data analysis in text mining. Yet, usually these tasks are discussed separately even though both involve computing the same factors. In this book, we will treat these two seemingly different concepts as two aspects of the same mathematical formula. The standard methods in clustering and LSI produce mixed signed factors which are unintuitive since most real datasets are nonnegative. Hence, it is natural to consider the using of nonnegative matrix factorizations which can offer more interpretable results. The discussions in this book are both theoretical and practical since we give mathematical proofs for some important results and accompany our algorithms with working codes in Matlab/Octave scripts. Thus, both scholarly and practical readers can benefit from this book.
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
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To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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