clustering-analysis

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 …

poisson-distribution hierarchical-clustering maximum-likelihood-estimation market-microstructure expectation-maximisation-algorithm clustering-analysis mixture-distributions information-asymmetry

Updated
R

Simon-Bertrand / Clusters-Features

Star

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.

python internal validation clustering evaluation unsupervised-learning clusters pbm indices clustering-analysis ball-hall generalized-dunn-indexes c-index banfeld-raftery davies-bouldin calinski-harabasz ray-turi xie-beni wemmert-gancarski point-biserial

Updated
Python

DOH-JDJ0303 / bigbacter-nf

Star

Bacterial surveillance pipeline.

public-health genome-analysis accessory-genome clustering-analysis snp-analysis public-health-surveillance bacterial-genomics

Updated
Nextflow

julherest / drought_clusters

Star

Code used to identify and analyze drought clusters from gridded data.

climate-variability droughts clustering-analysis

Updated
Python

DRLib / CDR

Star

Implementation of CDR - Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction

dimensionality-reduction multidimensional-projection clustering-analysis contrastive-loss pytorch-implementation interactive-clustering

Updated
JavaScript

👁 Clustering-by-Silhouette

EtzionR / Clustering-by-Silhouette

Star

Optimize clustering labels using Silhouette Score.

machine-learning clustering kmeans silhouette clustering-evaluation hdbscan meanshift clustering-analysis

Updated
Python

sharmaroshan / MNIST-Using-K-means

Star

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.

python machine-learning tutorial kmeans beginner jupyter-notebooks unsupervised-learning clustering-analysis imagery-analysis

Updated
HTML

Amey-Thakur / MACHINE-LEARNING

Sponsor

Star

CSDLO6021: Machine Learning [ML] | TE Semester VI | Computer Engineering

computer-science engineering machine-learning deep-learning machine-learning-algorithms computer-engineering neural-networks dimensionality-reduction machinelearning decision-trees textbooks principal-component-analysis machine-learning-tutorials regression-analysis clustering-analysis optimization-techniques classification-algorithms ameythakur amey megasatish

Updated
Rich Text Format

marthadais / AISclassification

Star

A geometric-driven semi-supervised approach for fishing activity detection from AIS data.

time-series-classification clustering-analysis mobility-behavior-detection feature-augmented-clustering

Updated
Jupyter Notebook

salar96 / MEP-Orthogonal-NMF

Star

Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)

clustering matrix-factorization constrained-optimization data-analysis outlier-detection clustering-algorithm nmf resource-allocation nonnegativity-constraints anomaly-detection orthogonal nonnegative-matrix-factorization sparse-representations clustering-analysis nmf-decomposition deterministic-annealing onmf

Updated
Jupyter Notebook

dilettagoglia / DataMining

Star

🔎Data Understanding, Visualization , Preparation & Cleaning - Clustering algorithms (unsupervised learning) - Classification algorithms (supervised learning) - Sequential Pattern Mining

data data-mining clustering data-visualization supervised-learning classification data-analysis unsupervised-learning data-processing data-cleaning clustering-algorithm datamining classification-algorithm sequential-patterns correlations clustering-analysis customer-profile assessing-data-quality

Updated
Jupyter Notebook

ShuyueG / CVI_using_DSI

Star

Cluster Validity Index Using a Distance-based Separability Measure

clustering-analysis cluster-validity cluster-validity-index-evaluation separability-measure

Updated
Python

at-tan / Hierarchical_Clustering_of_Currencies

Star

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 hierarchical-clustering clustering-analysis

Updated
Jupyter Notebook

pajaskowiak / clusterConfusion

Star

Clustering validation with ROC Curves

clustering k-means roc-curve clustering-algorithm clustering-evaluation hierarchical-clustering clustering-validation k-means-clustering roc-auc clustering-analysis roc-plot roc-curves roc-analysis auc-score roc-auc-curve roc-auc-score

Updated
R

zcebeci / fcvalid

Star

Internal Validity Indexes for Fuzzy and Possibilistic Clustering

validation clustering validate fcm pcm unsupervised-learning cluster-analysis number-of-clusters clustering-evaluation fuzzy-cmeans-clustering unsupervised-machine-learning clustering-validation unsupervised-clustering validity-indices clustering-analysis fuzzy-internal-indexes fuzzy-clustering-analyses fuzzy-possibilistic-cmeans possibilistic-clustering-algorithms clustering-benchmarks

Updated
R

Improve this page

Add a description, image, and links to the clustering-analysis topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the clustering-analysis topic, visit your repo's landing page and select "manage topics."

Learn more

URL: https://github.com/topics/clustering-analysis