This repository focuses on developing and optimizing an e-commerce database. It includes comprehensive database design, advanced query techniques, and performance optimization strategies.

Multivariate clustering of weather data. This is part of my research internship.

Image Clustering with Optimization Algorithms and Color Space - Matlab Codes

Couple of ML projects implemented during my master journy

Enhanced and Repackaged GIT Clustering: This repository offers an open-source, enhanced version of the GIT (Graph of Intensity Topology) clustering algorithm.

TTSAS - Fuzzy_cMeans - min_proximity - min_proximity

Multi-domain social recommender system • University project • 2018 - Web & Social information extraction - MSc in Computer Science, II year

This repo shows how to review and derive information from datasets using Python. First, get an overview of data science and how it open source libraries like Python can be used for your data analysis need. Then, discover how to set up labs and data interpreters. Next, learn about how you can use pandas, NumPy, and SciPy for numerical processing,…

机器学习Coursera专项课程第四门课程-聚类与检索，代码和作业

System identification using clustering algorithm for nonlinear control - Fuzzy systems control course project - Petroleum University of Technology

My Thesis Project Implementation

In this project I write K-means algorithm for image segmentation. Image was uploaded, and I used just the properties of this image (450*300 pixel) but you can changed it. Report is in Persian language.

clustering tendency

Graph Theory. Implementation of greedy algorithm to approximate k centeriods. The algorithm is 2-approximate and runs at a polynomial time complexity.

I have clustered similar movies and TV Shows available on Netflix taking into account of attributes like Description, Cast, Director, Genre etc of a particular movie/show.

This project is aimed at implementing the KMeans, DBSCAN, GMM, and hierarchical clustering algorithms using Python

A Local Adaptive Thresholding framework for image binarization written in C++. Implementing: Otsu, Bernsen, Niblack, Sauvola, Wolf, Gatos, NICK, Su, T.R. Singh, WAN, ISauvola and Shafait.

text classification

my assignment in IBM-DataScience-professional-certificate specialization

This repository contains an implementation of the K-Means clustering algorithm in Python. K-Means is an unsupervised machine learning algorithm that finds clusters in an N-dimensional space. The implementation provided in this repository allows users to apply K-Means to their own data sets and visualize the resulting clusters.