Polygonal Curves Clustering and LSH Hashing.
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Updated
Nov 23, 2020 - C++
Polygonal Curves Clustering and LSH Hashing.
k-means implementation for 2D points data ( SDL )
Native C++ implementation of the k-means clustering algorithm
A KMeans implemented in C++ with Python bindings and GPU acceleration
Multithread open source application for k-means clustering, support really big files (lineCount <= 1000000000, dimensionsCount <=1000, centroids count <=1000)
K-Means image segmentation (feature extraction) that just works. Lightweight and low footprint C++ implementation.
Scan Tailor Experimental is an interactive post-processing tool for scanned pages.
instance search of bow model framework(ins bagger)
Implementation of k-means algorithm using MPI and OpenMP
K-Means Clustering Algorithm with OpenMP 5.1 and C++ 17. The effective core utilization using the Intel Compiler 19.1 was 96% in 12 cores on a Windows 10 environment.
K-Means image clustering that just works. Lightweight and low footprint C++ implementation.
Kmeans-clustering based on point-cloud data.
Assn 4 - Speech Processing (CS 566 - IITG)
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