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.

text classification

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.

my assignment in IBM-DataScience-professional-certificate specialization

Find the shortest path and MST cost using Algorithms Visualization. Seven different algorithms have been used to find MST cost.

Classification of Bank Marketing Customer

In this project I write SOM(Self-Organazing-Map) Algorithm for Character recognition(There was 7 character and for each one 3 different example in train data). this Algorithm is competitive Algorithm, for example in this problem we define 7 random point (same dimension with characters) and in each iteration we find the nearest character to this …

Creating clusters for gobal development measurements

Topic Modelling means assigning topic labels to a collection of text documents. The goal of topic modelling is to identify topics present in the text documents.

C library implementing KMeans++ and SymNMF algorithms, fully compatible with Python.

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.

This project introduces Graphical Password Authentication (GPA), utilizing images for memorable and secure authentication. It's inclusive for all users, and a refresh button helps thwart shoulder surfing attacks. The backend, powered by MySQL and Python MySQL Connector, ensures efficient data management. GPA revolutionizes traditional passwords.

Data Clustering Based On Key Identification with a reddit data set

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.

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

clustering tendency

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