Алгоритмы распознавания образов
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Updated
Jun 5, 2024 - HTML
Алгоритмы распознавания образов
(Work in progress) Repository for some machine learning procedures used in multiple scenarios.
Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.
Application of PCA and K-means algorithms using R on FIFA19 data set.
Python implementation of the optimization model proposed in paper titled "A mixed integer programming approach to improve oil spill response resource allocation in the Canadian arctic"
Customer loyalty program for E-commerce. Feel free to access the report in the link below.
Effortless color palettes with K-Means magic. Perfect for artists, designers, and decorators. Unleash your inner color maestro today! 🌈🪄
Facilitating deep phenotyping by automating the screening of case studies & the comparison of patient similarities (through clustering). This can be used to get an understanding of the underlying pathophysiology for a rare genetic disorder.
Using fuzzy c-means and k-means to analyze customer personality data
A web-app that runs and visualizes k-means algorithm on iris dataset
Exploring meachine learning techniques and algorithms. Including clustering algorithms, perceptron and, more.
Use the credit card customer database to segement the groups by taking into account their spending patterns as well as past interactions with the bank
Pemetaan Tindak Kriminal Menggunakan Algoritma K-Means
Analyse de données et classification supervisée et non supervisée
Repository for the "Fundamentos del Aprendizaje Automático" subject
The goal of this project is to identify students at risk of dropping out the school
Full Flask - BI application used for segmentation - machine learning
Recommendation of similar images to the given image using ResNet50, K-Means and cosine similarity.
Detects human activity by supervised and unsupervised methods same as SVM, Logistic Regression, Neural Networks, K-means, GMM and compares results
Applied unsupervised learning techniques on demographic and spending data for a sample of German households.
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