Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
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Updated
Sep 3, 2024 - Python
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
Simple Extended BCubed implementation in Python for clustering evaluation
A framework for benchmarking clustering algorithms
Benchmarking framework based on Pareto front concept
A Python implementation of "FINCH Clustering Algorithm (CVPR 2019)"
Distance between clustering assignments. Non-trivial measure weighting L0 and L1 Jaccard norms.
Type Inference Evaluation Scripts & Accessory Apps (used for the StaTIX benchmarking)
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling of Clustering (Community Detection) Algorithms Considering Overlaps (Covers)
Optimize clustering labels using Silhouette Score.
This is the repo containing code and other resources for the paper entitled "Exploiting Geographical Data to improve Recommender Systems for Business Opportunities in Urban Areas" and published at BRACIS 2019.
A Data Mining Framework for Air Route Clustering
Implementation of some intern and extern clustering indexes
A pipeline to construct residential electricity consumer archetypes from the South African Domestic Electrical Load (DEL) database.
Creation an Information Retrieval Service with ElasticSearch
MapReduce, Spark, Hadoop, PostgreSQL, Cluster Management
The implementation of between dataset internal measures
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