Galaxy922/GCFAggMVC
The official repos for ‘’GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering‘’, (CVPR 2023).
This project helps researchers and data scientists categorize complex datasets that have multiple distinct 'views' or perspectives of the same underlying information. For example, if you have images of handwritten digits, along with their audio recordings, this tool can group similar items together. You input these multi-view datasets, and it outputs organized clusters, making it easier to analyze and understand complex patterns. This is ideal for researchers in computer vision, machine learning, and data analysis.
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Use this if you need to accurately group items in datasets where each item is described by several different types of features or from different data sources (e.g., images, text, sensor readings).
Not ideal if your dataset only has a single type of feature or if you're looking for a simple classification algorithm rather than unsupervised clustering.
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Python
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Last pushed
Oct 29, 2023
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