Raghda (Merry) Al taei – Medium

Raghda (Merry) Al taei

The Effect of Different Epsilon (ε) Values in DBSCAN

When using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, one of the most critical parameters is…

Oct 20, 2024

The Effect of Different Epsilon (ε) Values in DBSCAN

Oct 20, 2024

Understand the Math Behind DBSCAN

DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a popular clustering algorithm that groups data points based on…

Oct 19, 2024

Understand the Math Behind DBSCAN

Oct 19, 2024

DBSCAN Clustering Method

DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a popular clustering algorithm in data science and machine…

Oct 19, 2024

DBSCAN Clustering Method

Oct 19, 2024

Hierarchical Clustering Distance Metrics: A Step-by-Step Numerical Example

Hierarchical clustering is a popular unsupervised learning technique that creates a hierarchy of clusters. This method is particularly…

Oct 17, 2024

Hierarchical Clustering Distance Metrics: A Step-by-Step Numerical Example

Oct 17, 2024

Understanding Distance Metrics in Hierarchical Clustering: A Comparative Study

Hierarchical clustering is a powerful method for grouping data based on their similarities. The choice of distance metric significantly…

Oct 17, 2024

Understanding Distance Metrics in Hierarchical Clustering: A Comparative Study

Oct 17, 2024

The Impact of Normalization on K-means Clustering: A Comparative Analysis

K-means clustering is a popular method for grouping data into clusters based on their similarities. Here, we explore the effects of…

Oct 17, 2024

The Impact of Normalization on K-means Clustering: A Comparative Analysis

Oct 17, 2024

Comparing Cluster Center Calculation Methods: Mean, Mode, and Median

When calculating the center of a cluster in data analysis, three common methods are employed: the mean, mode, and median. Each of these has…

Oct 17, 2024

Comparing Cluster Center Calculation Methods: Mean, Mode, and Median

Oct 17, 2024

Understanding Bayesian Networks in Machine Learning: A Simple Guide

Bayesian Networks (or Bayes Nets) are powerful probabilistic models used in machine learning to represent complex relationships among…

Oct 16, 2024

Understanding Bayesian Networks in Machine Learning: A Simple Guide

Oct 16, 2024

Naive Bayes vs. Logistic Regression: A Simple Guide to Two Popular Classifiers

When it comes to machine learning, two of the most frequently used classifiers are Naive Bayes (NB) and Logistic Regression (LR). Both are…

Oct 15, 2024

Naive Bayes vs. Logistic Regression: A Simple Guide to Two Popular Classifiers

Oct 15, 2024

The Difference Between Generative and Discriminative Models

In the field of machine learning, models can be broadly categorized into two types: generative models and discriminative models…

Oct 15, 2024

The Difference Between Generative and Discriminative Models

Oct 15, 2024

Raghda (Merry) Al taei

Raghda (Merry) Al taei

I am a Data Scientist/Analyst with a master's degree in computer engineering (AI) from AmirKabir University.

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