Distance between clustering assignments. Non-trivial measure weighting L0 and L1 Jaccard norms.
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Updated
Sep 17, 2017 - Python
Distance between clustering assignments. Non-trivial measure weighting L0 and L1 Jaccard norms.
MapReduce, Spark, Hadoop, PostgreSQL, Cluster Management
Implementation of some intern and extern clustering indexes
Type Inference Evaluation Scripts & Accessory Apps (used for the StaTIX benchmarking)
A Data Mining Framework for Air Route Clustering
This repository provides classic clustering algorithms and various internal cluster quality validation metrics and also visualization capabilities to analyse the clustering results
Simple Extended BCubed implementation in Python for clustering evaluation
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling of Clustering (Community Detection) Algorithms Considering Overlaps (Covers)
A Python implementation of "FINCH Clustering Algorithm (CVPR 2019)"
Benchmarking framework based on Pareto front concept
Allows a 2D view of the calculation process of kmeans clustering.
Optimize clustering labels using Silhouette Score.
A pipeline to construct residential electricity consumer archetypes from the South African Domestic Electrical Load (DEL) database.
Creation an Information Retrieval Service with ElasticSearch
The "Random Swap" algorithm with a random dataset, visuals and example notebooks
Centroid Index Algorithm for Cluster Level Evaluation
The implementation of between dataset internal measures
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