Semantic Clustering using FAISS & Sentence Transformers | K-means Clustering
Semantic clustering is a technique that groups data points based on their semantic meaning or content similarity. The goal is to ensure that items within a cluster are semantically related or have similar meanings. For example, in a dataset, two items within the same cluster are semantically equivalent, while two items from different clusters are dissimilar.
In this video we are going to implement Semantic Clustering with in-depth intuition.
Prerequisite:
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Faiss: Efficient Similarity Search and Clustering of Dense Vectors
• Faiss: Efficient Similarity Search and Clu...
Intuition of Elbow curve:
• Mall Customer Segmentation using k-means C...
Code:
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https://github.com/SatadruMukherjee/D...
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