k-centers

There are 0 repository under k-centers topic.

sadit / KCenters.jl
A library gathering diverse algorithms for clustering, similarity search, prototype selection, and data encoding based on k-cluster algorithms.
encoding prototype-selection k-centers clustering-algorithms
Language:Julia 3
SoniSiddharth / SamplingMethods_in_DataScience
Speeding up clustering algorithms using Sampling techniques (Lightweight Coresets)
coresets clustering-algorithms lightweight-coresets sampling-methods svd-factorization volume-sampling leverage-score uniform kmeans-clustering kmedoids-clustering bisecting-kmeans-clustring k-centers data-science
Language:Python 2
adityatripathiiit / DataScience
Repository for implementation details for Data-Science
data-science greedy optimal low-rank-approximation visualizing-data count-sketch countmin k-centers misra-gries-sketch cs cms count-min-sketch misra-gries
Language:Jupyter Notebook 1
LeonSering / fair_and_fast_k_center_clustering
A linear-time k-center algorithm with fairness conditions and worst-case guarantees that is very fast in practice. Written in Rust with Python bindings.
fairness graph-algorithm icml k-centers linear-time matching-algorithm operations-research optimization publication
Language:Rust 1
nicolezattarin / MapReduce-kcenters-outliers
Pyspark implementation of k-centers algorithm to deal with big data and outliers
spark pyspark big-data mapreduce clustering k-centers outliers
Language:Python 1
RazGavrieli / greedy-k-centre-CPP
Graph Theory. Implementation of greedy algorithm to approximate k centeriods. The algorithm is 2-approximate and runs at a polynomial time complexity.
clustring graph-algorithms graph-theory k-centers
Language:C++ 1
antimattercorrade / Data_Science_Assignments
Assignments of Data Science Class
count-sketch countmin data-science greedy k-centers low-rank-approximation misra-gries-sketch optimal visualizing-data
Language:Jupyter Notebook
SoniSiddharth / Data-Science-Implementations
The repository contains implementation of some data science algorithms
misra-gries-sketch count-sketch count-min-sketch data-science data-visualization greedy k-centers optimal svd low-rank-approximation population-dynamics
Language:Jupyter Notebook