Fast OPTICS clustering in Cython + gradient cluster extraction
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Updated
Aug 15, 2023 - Jupyter Notebook
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
Assignments of the Data Mining course COL761(2018-19) @ IIT Delhi
Calculating pairwise euclidean distance matrix for horizontally partitioned data in federated learning environment
An implementation of OPTICS Algorithm
MATLAB scripts for the paper "Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer"
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
GUI version of https://github.com/guglielmosanchini/ClustViz
Final project for Data Mining course : Using OPTICS on 2 datasets
Iris dataset
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.
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…
Модуль 6. Навчання без вчителя. Кластерізація. KMeans. Principal Component Analysis
Implementation of Density-based clustering algorithms for Geo-social data
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)
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