Machine Learning

Affinity Propagation Algorithm

What is Affinity Propagation Algorithm? Affinity Propagation (AP) is an advanced clustering algorithm used in machine learning and data mining to group similar data points into clusters. Unlike traditional clustering…

Spectral Clustering Algorithm

What is Spectral Clustering Algorithm? Spectral Clustering is an advanced unsupervised machine learning algorithm used to group similar data points into clusters based on the properties of a graph representation…

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…

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…

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…

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…

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…

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.…

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…

Latent Semantic Analysis

Latent Semantic Analysis (LSA) is a foundational technique in natural language processing and information retrieval that uncovers hidden (latent) relationships between words and documents. It transforms raw text into a…