Infomap Algorithm
What is Infomap Algorithm? The Infomap Algorithm is a powerful method used for community detection in complexnetworks. It is based on principles from information theory, particularly the idea of compressing…
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Data Mining
18 posts
Walktrap Algorithm
What is Walktrap Algorithm? The Walktrap Algorithm is a community detection technique used in network analysis to identify clusters (or communities) within a graph. It is based on the principle…
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Adaptive Boost Algorithm in Machine Learning
What is AdaBoost Algorithm? AdaBoost, short for Adaptive Boosting, is one of the earliest and most influential ensemble learning algorithms in machine learning. It was introduced by Yoav Freund and…
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LightGBM Algorithm
What is LightGBM Algorithm? LightGBM (Light Gradient Boosting Machine) is a high-performance, distributed, and efficient implementation of the Gradient Boosting Decision Tree (GBDT) framework developed by Microsoft. It is designed…
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CatBoost Algorithm
What is CatBoost Algorithm? CatBoost (Categorical Boosting) is a gradient boosting algorithm developed by Yandex. It is specifically designed to handle categorical features efficiently and automatically, without requiring extensive preprocessing…
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Page Rank Algorithm
What is Page Rank Algorithm? The Page Rank Algorithm is a link analysis algorithm used to measure the relative importance of nodes within a network. Most commonly, it is applied…
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Louvain Algorithm
Community detection is one of the most important problems in network science: given a graph, how do we find groups of nodes that are more densely connected to each other…
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Label Propagation Algorithm
What is Label Propagation Algorithm? Label Propagation Algorithm (LPA or LAP) is a simple, fast, and intuitive semi-supervised (and unsupervised) graph-based method for community detection and label inference on graphs.…
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Random Forest Algorithm
What is Random Forest? Random Forest is an ensemble learning method for classification and regression that builds a collection (a “forest”) of decision trees and combines their predictions to produce…
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Gradient Boosting Algorithm
Gradient Boosting is one of those rare ideas in machine learning that’s both simple at its core and remarkably powerful in practice. From credit scoring and click-through prediction to anomaly…
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