Amirhossein-Rajabpour/Fuzzy-C-Means-Clustering
Computational Intelligence Course Project
This project helps you sort your data into groups, even when individual data points don't neatly fit into just one category. Instead of forcing each item into a single group, it lets items belong to multiple groups with different levels of association. This is useful for data analysts, researchers, or anyone needing more nuanced insights from their datasets.
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Use this if you need to understand natural groupings within your data where items might share characteristics of several different categories.
Not ideal if you require a strict, unambiguous assignment of each data point to one and only one cluster.
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Jul 26, 2021
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