Can I read Document Clustering in Big Data Analytics on EtoBox?
Document Clustering in Big Data Analytics by Aman Kushwaha is a document available to read on EtoBox.
What is Document Clustering in Big Data Analytics about?
The document presents a project report on document clustering using big data analytics. It discusses using k-means clustering and self-organizing maps (SOM) to analyze a large set of documents and group related documents together. It proposes using term frequency-inverse document frequency (TF-IDF) and Doc2Vec factors to provide a better clustering. The methodology section provides more details on k-means clustering, SOM, and how the two clustering algorithms will be reinforced with TF-IDF and Doc2Vec.
- Author
- Aman Kushwaha
- Language
- EN