GitHub topics: optics-clustering

Repositories

pranava007/AI_ML_OPTICS_Clutering

OPTICS

Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

eren-ck/st_optics

ST-OPTICS: Spatio-temporal clustering based on OPTICS

Language: Python - Size: 192 KB - Last synced at: 10 months ago - Pushed at: almost 4 years ago - Stars: 19 - Forks: 2

tboudart/Tanzanian-Water-Pumps-Clustering-and-Classification

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 dataset. Unfortunately, k-means clustering, DBSCAN, hierarchical clustering, nor OPTICS produced well-defined clusters. The entire dataset was therefore used for fitting classification algorithms. The two classification techniques I was responsible for were k-nearest neighbors and stacked generalization ensemble. For the latter, I combined the best models each group member developed. All the models had a hard time predicting the functional but need repair class. My best model was only able to achieve an accuracy of 76%.

Language: Jupyter Notebook - Size: 7.61 MB - Last synced at: 9 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

lexxai/goit_python_ds_hw_06

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

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paoloinglese/3D_DESI

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

Language: Matlab - Size: 28.3 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0

Alex-Mak-MCW/Clustering-Algorithms-Analysis-Project

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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mdshihabullah/federated-predicted-euclidean-distance

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

Language: Python - Size: 30.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Neyen108/data-mining-algos

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

Language: Python - Size: 3.91 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

dvida/cyoptics-clustering

Fast OPTICS clustering in Cython + gradient cluster extraction

Language: Jupyter Notebook - Size: 199 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 27 - Forks: 6

keerti2001/Density-Based-Place-Clusterig-Using-Geo-Social-Data

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

Language: Jupyter Notebook - Size: 22.7 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

AkalyaAsokan/KMeans-DBSCAN-and-OPTICS-Clustering

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

Language: R - Size: 190 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

Sarvandani/Machine_learning_9_algorithms_of_clustering

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

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0