e-XpertSolutions/go-cluster
k-modes and k-prototypes clustering algorithms implementation in Go
This tool helps you group data points into clusters based on their similarities, even when your data contains categories like 'product type' or 'region' instead of just numbers. You input your raw dataset, which can include both numerical and categorical information, and it outputs labels assigning each data point to a specific group. Data analysts, market researchers, or anyone needing to segment complex datasets will find this useful.
No commits in the last 6 months.
Use this if you need to find natural groupings within your customer data, survey responses, or operational logs, especially when dealing with descriptive, non-numeric information.
Not ideal if your data is exclusively numerical and you prefer traditional methods like k-means, or if you require advanced deep learning-based clustering.
Stars
44
Forks
9
Language
Go
License
BSD-3-Clause
Category
Last pushed
Nov 29, 2022
Commits (30d)
0
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