Fast OPTICS clustering in Cython + gradient cluster extraction

ST-OPTICS: Spatio-temporal clustering based on OPTICS

Data Mining course projects

Data Mining course projects

Coordinated logistics with a truck and a drone

Calculating pairwise euclidean distance matrix for horizontally partitioned data in federated learning environment

Assignments of the Data Mining course COL761(2018-19) @ IIT Delhi

GUI version of https://github.com/guglielmosanchini/ClustViz

MATLAB scripts for the paper "Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer"

An implementation of OPTICS Algorithm

Sklearn, K-means Clustering, Hierarchical Clustering, DBSCAN, Mean Shift Clustering, Gaussian Mixture Models (GMM), Spectral Clustering, Affinity Propagation, OPTICS (Ordering Points to Identify the Clustering Structure), Birch (Balanced Iterative Reducing and Clustering using Hierarchies), marketing_campaign

Data Mining Applied to Oil Well Using K-means and DBSCAN (A Research Paper Implementation along with OPTICS and PCA)

All-in-1 notebook which applies different clustering (K-means, hierarchical, fuzzy, optics) and classification (AdaBoost, RandomForest, XGBoost, Custom) techniques for the best model.

Final project for Data Mining course : Using OPTICS on 2 datasets

Iris dataset

Модуль 6. Навчання без вчителя.  Кластерізація. KMeans. Principal Component Analysis

Implementation of Density-based clustering algorithms for Geo-social data

For this group project, I performed cluster analysis and classification using Python to predict one of three classes for water pumps; functional, functional but needs repair, and non-functions. I used clustering to find hidden data structures to exploit for fitting individual classification techniques with better results than using the entire da…

An Implementation of Data Mining Algorithms, namely K-Means, DBScan, OPTICS.

Personal research project on examining different types of clustering algorithms, as well as investigate their impact when they are used in classification problem (cluster-based feature engineering)