Repo for clustering model code submission of Flipkart Grid 2.0 Hackathon project

Analysis of spectra using ANN autoencoders

Priprava podatkov za študente pri vaji predmeta Praktikum strojnega ucenja na Fakulteti za matematiko in fiziko

Slack bot that aims to connect your company employees - Code in Quero 2018 Hackathon Project

Clustering for Unsupervised Image Classification, using perceptual hashing and object detection

Spectral clustering implementation for distributed machine learning

Clustering wikipedia articles

This project is done as part of course entitled Business Intelligence and Data Mining provided at Dr. Jivraj Mehta Institute of Technology for students of B.Engg. in Computer Science and Engineering. This project implements k-Means, an unsupervised Data Mining algorithm to cluster states of USA being Safe, Moderate or Critical. The dataset from …

We investigate how different physiological activities change our Heart Rate and SpO2 values and created a prototype for activity tracking.

Unsupervised Learning using SELF ORGANISING MAPS

Unsupervised image classification using feature vectors derived from ImageNet

An implementation of the basic idea of K-Means from scratch.

Analyzing customers' annual spending amounts and find the best number of clusters in different customer types

Lex2Sent package for unsupervised text classification/clustering

Keyword/entity/phrases identification & a possible approach to map to categories

Algorithmes de selection de variables pour préparer un apprentissage non supervisé. La version finale du programme est sélectionne les prédicteurs les plus pertinents en effectuant un apprentissage à chaque génération. La métrique optimisée (dans le cadre du dataset utilisé) est l'accuracy. Nous avons testé les deux métaheuristiques sur un datas…

A python code to implement the K-Means Algorithm on a starter dataset - Iris.