clustering-analysis

There are 3 repositories under clustering-analysis topic.

milaan9 / Clustering_Algorithms_from_Scratch
Implementing Clustering Algorithms from scratch in MATLAB and Python
cluster cluster-analysis clustering-algorithms clustering-analysis clustering-benchmark clustering-methods clustering-models machine-learning-algorithms subspace-clustering tutor-milaan9 unsupervised-learning
Language:Jupyter Notebook 189
rezacsedu / Deep-Learning-for-Clustering-in-Bioinformatics
Deep Learning-based Clustering Approaches for Bioinformatics
deep-learning neural-networks clustering-analysis bioinformatics representation-learning autoencoders variational-autoencoder convolutional-autoencoder lstm-neural-networks
Language:Jupyter Notebook 125
rohanmohapatra / hdbscan-cpp
Fast and Efficient Implementation of HDBSCAN in C++ using STL
cpp c-plus-plus machine-learning machine-learning-algorithms clustering clustering-algorithm hdbscan stl-containers clustering-analysis
Language:C++ 49
bessagroup / CRATE
CRATE: Accurate and efficient clustering-based nonlinear analysis of heterogeneous materials through computational homogenization
computational-homogenization clustering-analysis computational-mechanics material-modelling
Language:Python 30
monty-se / PINstimation
A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an expectation-maximization (EM) algorithm, and PIN decomposition into layers, and into bad/good components. Versatile data simulation tools, and trade classification algorithms are among the supplementary utilities. The package provides fast, compact, and precise utilities to tackle the sophisticated, error-prone, and time-consuming estimation procedure of informed trading, and this solely using the raw trade-level data.
clustering-analysis expectation-maximisation-algorithm hierarchical-clustering information-asymmetry market-microstructure maximum-likelihood-estimation mixture-distributions poisson-distribution
Language:R 29
Simon-Bertrand / Clusters-Features
The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.
clustering indices internal validation ball-hall generalized-dunn-indexes c-index banfeld-raftery davies-bouldin calinski-harabasz ray-turi xie-beni wemmert-gancarski pbm point-biserial unsupervised-learning python clusters evaluation clustering-analysis
Language:Python 29
DRLib / CDR
Implementation of CDR - Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction
dimensionality-reduction interactive-clustering contrastive-loss pytorch-implementation multidimensional-projection clustering-analysis
Language:JavaScript 20
julherest / drought_clusters
Code used to identify and analyze drought clusters from gridded data.
droughts clustering-analysis climate-variability
Language:Python 19
sharmaroshan / MNIST-Using-K-means
It is One of the Easiest Problems in Data Science to Detect the MNIST Numbers, Using a Classification Algorithm, Here I have used a csv File which contains the Pixels of the Numbers from 0 to 9 and we have to Classify the Numbers Accordingly. I have Used K-Means Classification Algorithm.
kmeans clustering-analysis python jupyter-notebooks unsupervised-learning machine-learning imagery-analysis tutorial beginner
Language:HTML 13
Clustering-by-Silhouette
EtzionR / Clustering-by-Silhouette
Optimize clustering labels using Silhouette Score.
clustering clustering-analysis clustering-evaluation kmeans meanshift hdbscan silhouette machine-learning
Language:Python 11
marthadais / AISclassification
A geometric-driven semi-supervised approach for fishing activity detection from AIS data.
clustering-analysis time-series-classification feature-augmented-clustering mobility-behavior-detection
Language:Jupyter Notebook 10
at-tan / Hierarchical_Clustering_of_Currencies
A clustering exercise of global currencies on three common financial market features using data from 2017 through 2019, as published in Towards Data Science on Medium.com
clustering-analysis clustering hierarchical-clustering
Language:Jupyter Notebook 9
salar96 / MEP-Orthogonal-NMF
Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)
clustering clustering-algorithm clustering-analysis nmf nmf-decomposition orthogonal outlier-detection onmf deterministic-annealing anomaly-detection resource-allocation constrained-optimization data-analysis matrix-factorization nonnegative-matrix-factorization nonnegativity-constraints sparse-representations
Language:Python 7
ShuyueG / CVI_using_DSI
Cluster Validity Index Using a Distance-based Separability Measure
cluster-validity cluster-validity-index-evaluation clustering-analysis separability-measure
Language:Python 7
BayoAdejare / lightning-containers
Docker powered starter for geospatial analysis of lightning atmospheric data.
clustering-analysis csv-files data-engineer data-engineering-pipeline data-warehouse databases docker jupyter machine-learning-algorithms noaa-weather orchestrator pandas python3 spatialite sqlite streamlit-dashboard
Language:Jupyter Notebook 6
dilettagoglia / DataMining
🔎Data Understanding, Visualization , Preparation & Cleaning - Clustering algorithms (unsupervised learning) - Classification algorithms (supervised learning) - Sequential Pattern Mining
assessing-data-quality classification classification-algorithm clustering clustering-algorithm clustering-analysis correlations customer-profile data data-analysis data-cleaning data-mining data-processing data-visualization datamining sequential-patterns supervised-learning unsupervised-learning
Language:Jupyter Notebook 6
danustc / Image_toolbox
This is my toolbox for image processing and downstream analysis of calcium imaging data.
calcium-imaging clustering-analysis pipeline neurons scikit-learn
Language:Jupyter Notebook 5
KaikeWesleyReis / kaggle
Solutions for different datasets in Kaggle Website
kaggle npl feature-engineering predictive-analysis clustering-analysis
Language:Jupyter Notebook 5
pajaskowiak / clusterConfusion
Clustering validation with ROC Curves
clustering clustering-algorithm clustering-analysis clustering-evaluation roc-analysis roc-auc roc-auc-curve roc-plot auc-score clustering-validation hierarchical-clustering k-means k-means-clustering roc-auc-score roc-curve roc-curves
Language:R 5
zcebeci / fcvalid
Internal Validity Indexes for Fuzzy and Possibilistic Clustering
clustering clustering-analysis validation validity-indices fuzzy-internal-indexes fuzzy-cmeans-clustering fuzzy-clustering-analyses fuzzy-possibilistic-cmeans possibilistic-clustering-algorithms validate fcm pcm unsupervised-learning unsupervised-machine-learning unsupervised-clustering cluster-analysis number-of-clusters clustering-evaluation clustering-validation clustering-benchmarks
Language:R 5
ArtemKovera / clust
a few different clustering algorithms with python libraries for data science
clustering clustering-algorithm cluster-analysis clustering-analysis hierarchical-clustering k-means dbscan neural-network-based-clustering
Language:Jupyter Notebook 4
caesarmario / Mall-Customers-Clustering-Analysis-using-SAS-Enterprise-Miner
This repository contains mall customers clustering analysis. This repository also uses SAS Enterprise Miner to perform clustering and identify each cluster's characteristics. Full explanations about this repository can be seen on: https://medium.com/@caesarmario/mall-customers-clustering-analysis-da594bd2718b
cluster-analysis clustering clustering-algorithm clustering-analysis clustering-evaluation clusters marketing marketing-analytics sas sas-enterprise-miner segmentation
4
EtzionR / generate-Convex-Hull-SHP-from-HDBSCAN-clustering-probabilities
Defines a boundary around cluster centers in a given point-layer shapefile.
clustering clustering-analysis convex-hull coordinate-systems esri geographical-information-system geometry gis hdbscan machine-learning shp
Language:Python 4
mustafahakkoz / Classification_Clustering_Freq_Pattern_Mining
3 notebooks covering Classification, Clustering Analysis and Frequent Pattern Mining in the scope of Data Mining lectures in Marmara University.
k-means agnes dbscan apriori fp-growth eclat classification clustering-analysis association-rules frequent-pattern-mining
Language:Jupyter Notebook 4
AYSE-DUMAN / Clustering_by_Business_Income_and_Expenses
load and visualize data and clusters with scatter plots; prepare data for cluster analysis; perform centroid clustering with k-means; interpret clustering results and determine the optimal number of clusters for a given dataset.
clustering-methods clustering-evaluation clustering-analysis
Language:Jupyter Notebook 3
jajokine / Genomics-and-High-Dimensional-Data
MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - Second Project
genomics genomics-visualization genomics-data clustering-methods clustering-analysis principal-component-analysis logistic-regression regularization l1-regularization l2-regularization hierarchical-clustering kmeans-clustering
Language:Jupyter Notebook 3
liruijia2017 / Local-gap-density-for-clustering-high-dimensional-data-with-varying-densities
A new clustering algorithm using local gap density
clustering-algorithm clustering-analysis density-based-clustering graph-based-clustering clustering clustering-methods
Language:MATLAB 3
olivierzach / random-neighbors
Random Neighbors: Random Forest style clustering for high-dimensional data
clustering clustering-analysis high-dimensional-data dbscan data-science unsupervised-learning optimization machine-learning algorithm
Language:Python 3
paocarvajal1912 / Crypto_Clustering
Uses K-Means unsupervised machine learning algorithm and Principal Component Analysis to cluster cryptocurrencies based on performance in selected periods.
jupyter jupyter-notebook python clustering-analysis principal-component-analysis-pca kmeans-clustering-algorithm kmeans cryptocurrency
Language:Jupyter Notebook 3
AnFrBo / internet_censorship
Analysis of the State of Internet Censorship in the United Kingdom Using Data Provided by OONI and Blocked Project as well as Scraped URL Meta Data
clustering-analysis wordcloud-visualization levenshtein-distance internet-censorship it-security ooniprobe blocked filtering url-analytics nlp
Language:R 2
barbarametzler / clusteringsatelliteimages
code for PhD thesis
clustering-analysis deepcluster python3 satellite-imagery sub-saharan-africa urban-data-science
Language:Python 2
gvyshnya / COVID19
This is the home of my public efforts in data analytics, research and data science/software development dedicated to various aspects of COVID-19 impact analysis
data-science data-analytics clustering-analysis visualization time-series
Language:Jupyter Notebook 2
Janice-Afi / Market-Segmentation
This is a Clustering analysis on mall customers
clustering-analysis kmeans-clustering
Language:Jupyter Notebook 2
KaranJoseph / DemandForecasting_SCA
Demand Forecasting using time-series and tree based models for a CPG company that serves US and Canada. Inventory Management using Mixed Integer Linear Programming on the best forecast model.
timeseries-forecasting clustering-analysis demand-forecasting inventory-management-system linear-programming machine-learning milp optimization
Language:Jupyter Notebook 2
parthnan / IowaGamblingTask-Clustering
Clustering Analysis of all available research data on the Iowa Gambling Task(list of sources in readme) using R. The Scripts produce the output for the most common archetypes among the dataset of one researcher using PCA.
clustering-analysis r statistics iowagambling probabilistic-models medical-diagnosis neurology
Language:R 2
SamDewriter / UserAnalytics-Telecommunication
User Analytics in the Telecommunication industry. The focus of this project is to explore a given set of Telecommunication data to analyze users experience, engagement and satisfaction.
exploratory-data-analysis linear-regression clustering-analysis
Language:Jupyter Notebook 2

clustering-analysis

milaan9 / Clustering_Algorithms_from_Scratch

rezacsedu / Deep-Learning-for-Clustering-in-Bioinformatics

rohanmohapatra / hdbscan-cpp

bessagroup / CRATE

monty-se / PINstimation

Simon-Bertrand / Clusters-Features

DRLib / CDR

julherest / drought_clusters

sharmaroshan / MNIST-Using-K-means

EtzionR / Clustering-by-Silhouette

marthadais / AISclassification

at-tan / Hierarchical_Clustering_of_Currencies

salar96 / MEP-Orthogonal-NMF

ShuyueG / CVI_using_DSI

BayoAdejare / lightning-containers

dilettagoglia / DataMining

danustc / Image_toolbox

KaikeWesleyReis / kaggle

pajaskowiak / clusterConfusion

zcebeci / fcvalid

ArtemKovera / clust

caesarmario / Mall-Customers-Clustering-Analysis-using-SAS-Enterprise-Miner

EtzionR / generate-Convex-Hull-SHP-from-HDBSCAN-clustering-probabilities

mustafahakkoz / Classification_Clustering_Freq_Pattern_Mining

AYSE-DUMAN / Clustering_by_Business_Income_and_Expenses

jajokine / Genomics-and-High-Dimensional-Data

liruijia2017 / Local-gap-density-for-clustering-high-dimensional-data-with-varying-densities

olivierzach / random-neighbors

paocarvajal1912 / Crypto_Clustering

AnFrBo / internet_censorship

barbarametzler / clusteringsatelliteimages

gvyshnya / COVID19

Janice-Afi / Market-Segmentation

KaranJoseph / DemandForecasting_SCA

parthnan / IowaGamblingTask-Clustering

SamDewriter / UserAnalytics-Telecommunication