An implementation of locality sensitive hashing with Hadoop
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Updated
Feb 5, 2015 - Java
An implementation of locality sensitive hashing with Hadoop
Sample Jetty/Jersey2 server that interoperates with a running Vokter server (https://github.com/vokter/vokter).
(WIP) HTTP server that deploy distributes Vokter (https://github.com/vokter/vokter) through a REST API.
High Dimensional Approximate Near(est) Neighbor
Minhash clustering of text documents
Minhash text analyzer developed during Algorithmics subject.
MinMax Circular Sector Arc for External Plagiarism’s Heuristic Retrieval Stage code
Assignments as given in the course of CSE545. All assignments are part of this course
Vector space modeling of MovieLens & IMDB movie data
Big Data Projects in Spark using Locality sensitive hashing, Eigen Decomposition etc
#️⃣ Local Sensitivity Hashing Using the 'Trend Micro' 'TLSH' Implementation (based on https://github.com/trendmicro/tlsh/)
Generates FAQ from a given Q/A dataset(Tested on amazon)
First story detection using shingling, LSH and graphical methods
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