Visual Assessment of Clustering Tendency for Finding the Number of Clusters in Datasets

Dan McLinden

Repositorio para datos y documentos de la asignatura del máster en Ciencia de Datos: Minería de datos, detección de anomalías y aprendizaje no supervisado.

Environmental News Coverage by Various News Sources (e.g., NYTimes, Fox News)

Density-based spatial clustering of applications with noise

Graduate project implementing a pattern-based approach on organizational data

Data Science ML Repository

A Brazil climate estimate cluster analysis from 11 year INMET spatio-temporal meteorological data.

To describe age-gender unbiased COVID-19 subphenotypes regarding severity patterns through a two-stage clustering approach using patient phenotypes and demographic features. Additional source and temporal variability assessments are included as part of data quality analyses.

In this project, the objective is to implement different clustering methods to synthetic and real-world data and validate using external and internal validation techniques

Work team repo for code and coursework associated with ORLA 6541 Applied Data Science in Organizations at Teachers College, Columbia University.

It's the continuation of my kleanee_ClusteringAnalysis project, in which I include the Silhouette Method for KMeans Clustering.

The AntibodyCluster repository contains scripts designed to extract sequences of amino acid chains from antibodies present in Protein Data Bank (PDB) format files. The scripts employ the SAbDab database for file processing.

R and ArcGIS Assignments from GGRC30 Advanced GIS and GGRC42 Spatial Multivariate Analysis (UTSC)

Credit scoring and segmentation refer to the process of evaluating the creditworthiness of individuals or businesses and dividing them into distinct groups based on their credit profiles.

This project provides a comprehensive overview of the principles underlying K-Means and Hierarchical clustering techniques, focusing on key concepts such as Clustering, the Elbow Method, the Silhouette Method, and Dendrogram analysis.

Clustering and Formal concept analysis of 100 french cities

Semi-automatic system to perform a clustering analysis of academic histories from undergraduate students with the objective of identifying students at-risk of dropuot

clustering app

Microcontrollers cluster analysis