Clustering K-Means with Streamlit App Deployment
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Updated
Jan 22, 2024 - Python
Clustering K-Means with Streamlit App Deployment
This is a project for the course "Machine Learning" - Master's degree in Data Science, University Milano-Bicocca
This paper presents TD-AC which is an effective algorithm for the truth discovery problem when the attributes over data are structurally correlated. We build our procedure on an abstract representation of the truth in the data, the k-means clustering technique and the silhouette measure to automatically find an optimal partitioning of the input …
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