Abstract: Deep learning is a powerful technique for data-driven learning in the era of Big Data. However, most deep learning models are deterministic models that ignore the uncertainty of data. Fuzzy ...
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How to use fuzzy matching in Power Query to clean up Excel data
Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...
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Photoshop CS6 tutorial: Color lookup
Photoshop CS6 tutorial on Color Lookup adjustments including making a clear day into a moonlit night. Weight-loss drugs draw thousands of lawsuits alleging serious harm Missing Danish flags spark ...
Abstract: Fuzzy clustering ensemble techniques have been proven to yield more accurate and robust clustering results, with the mainstream methods relying on the fuzzy co-association (FCA) matrix.
RapidFuzz is a fast string matching library for Python and C++, which is using the string similarity calculations from FuzzyWuzzy. However, there are two aspects that set RapidFuzz apart from ...
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