Will be used for my first formal research undertaking as a student of Computer Science and Statistics
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Updated
Jul 2, 2024 - HTML
Will be used for my first formal research undertaking as a student of Computer Science and Statistics
Functional-Data-Clustering webpage (https://functional-data-clustering.github.io/)
Project developed for Data Mining II class @fcup
A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing
A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.
Алгоритмы распознавания образов
Hierarchical, iterative clustering for analysis of transcriptomics data in R
Learning analytics methods and tutorials - A practical guide using R
This project is part of the Statistical Learning course.
Offical repo of the paper "A novel methodological framework for the analysis of health trajectories and survival outcomes in heart failure patients" (ICLR 2024)
Social Media Analysis using multivariate analysis in a Rutgers Business School Classroom
Fast implementations of various clustering algorithms, trajectory processing, and binary similarity metrics with Python SWIG bindings for select algorithms.
An R package to visualize and analyze structure from species presence or abundance data using grade of membership models.
Nonlinear Nonparametric Statistics
Global Insights: Country Clustering Analysis Using Unsupervised Machine Learning
Python implementation of K-Means Clustering algorithm for unsupervised learning. Efficiently groups data points into clusters based on similarity. Simple yet powerful tool for data exploration, segmentation, and pattern recognition tasks in various fields.
Python implementation of Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm for unsupervised learning. Identifies clusters of varying shapes and sizes in data, robust to noise. Useful for data exploration and anomaly detection.
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