Topic: "cluster-analysis"
scikit-learn-contrib/hdbscan
A high performance implementation of HDBSCAN clustering.
Language: Jupyter Notebook - Size: 27.8 MB - Last synced at: 7 days ago - Pushed at: 20 days ago - Stars: 2,908 - Forks: 515
kubesphere/kubeeye
KubeEye aims to find various problems on Kubernetes, such as application misconfiguration, unhealthy cluster components and node problems.
Language: Go - Size: 220 MB - Last synced at: about 18 hours ago - Pushed at: 26 days ago - Stars: 829 - Forks: 131
elki-project/elki
ELKI Data Mining Toolkit
Language: Java - Size: 54.9 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 808 - Forks: 325
milaan9/Clustering_Algorithms_from_Scratch
Implementing Clustering Algorithms from scratch in MATLAB and Python
Language: Jupyter Notebook - Size: 6.5 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 201 - Forks: 179
kvesta/vesta
A static analysis of vulnerabilities, Docker and Kubernetes cluster configuration detect toolkit based on the real penetration of cloud computing
Language: Go - Size: 3.93 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 197 - Forks: 28
erda-project/kubeprober
Large-scale Kubernetes cluster diagnostic tool.
Language: Go - Size: 268 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 140 - Forks: 39
TheJJ/ceph-balancer
Efficient Ceph placement optimization, aiming for maximum storage capacity through equal OSD utilization.
Language: Python - Size: 302 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 121 - Forks: 34
mpraski/clusters
Cluster analysis library for Golang
Language: Go - Size: 539 KB - Last synced at: 11 months ago - Pushed at: over 5 years ago - Stars: 84 - Forks: 11
bkrai/Top-10-Machine-Learning-Methods-With-R
Includes top ten must know machine learning methods with R.
Size: 82 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 77 - Forks: 66
BinaryResearch/centrifuge-toolkit
Tool for visualizing and empirically analyzing information encoded in binary files
Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 73 - Forks: 9
gagolews/genieclust
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
Language: C++ - Size: 79.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 62 - Forks: 11
CI-Research/KeywordAnalysis
Word analysis, by domain, on the Common Crawl data set for the purpose of finding industry trends
Size: 27.9 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 57 - Forks: 13
HaebinShin/dec-tensorflow
Tensorflow implementation of "Unsupervised Deep Embedding for Clustering Analysis"
Language: Python - Size: 29.3 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 53 - Forks: 21
lachhebo/pyclustertend
A python package to assess cluster tendency
Language: Python - Size: 6.2 MB - Last synced at: 12 days ago - Pushed at: 5 months ago - Stars: 47 - Forks: 11
Beliavsky/Burkardt-Fortran-90
Classification of John Burkardt's many Fortran 90 codes
Size: 29.9 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 46 - Forks: 10
porterehunley/RACplusplus
A high performance implementation of Reciprocal Agglomerative Clustering in C++
Language: Jupyter Notebook - Size: 191 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 43 - Forks: 2
microsoft/dstoolkit-forecasting
Template for forecasting data science project and identify consumption profiles in time series
Language: Jupyter Notebook - Size: 5.79 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 42 - Forks: 4
ispingos/pytheas-splitting
Home of the Pytheas software for local shear-wave splitting analysis
Language: Python - Size: 10.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 40 - Forks: 7
lucko515/clustering-python
Different clustering approaches applied on different problemsets
Language: Jupyter Notebook - Size: 268 KB - Last synced at: 28 days ago - Pushed at: almost 5 years ago - Stars: 39 - Forks: 57
gagolews/clustering-benchmarks
A framework for benchmarking clustering algorithms
Language: Python - Size: 194 MB - Last synced at: 2 days ago - Pushed at: about 1 month ago - Stars: 38 - Forks: 6
LuisScoccola/persistable
density-based clustering for exploratory data analysis based on multi-parameter persistence
Language: Python - Size: 11.3 MB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 38 - Forks: 2
fanfanda/S_Dbw
S_Dbw validity index
Language: Python - Size: 17.6 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 38 - Forks: 10
philips-software/latrend
An R package for clustering longitudinal datasets in a standardized way, providing interfaces to various R packages for longitudinal clustering, and facilitating the rapid implementation and evaluation of new methods
Language: R - Size: 62.9 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 31 - Forks: 5
IgorWounds/Cluster-Analysis-Machine-Learning-for-Pairs-Trading
Find trading pairs with Machine Learning
Language: Jupyter Notebook - Size: 365 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 27 - Forks: 15
ear-team/bambird
Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952
Language: Python - Size: 207 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 26 - Forks: 6
epigen/unsupervised_analysis
A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
Language: Python - Size: 56 MB - Last synced at: 27 days ago - Pushed at: 2 months ago - Stars: 26 - Forks: 4
Beliavsky/Burkardt-Fortran-90-codes
John Burkardt's Fortran 90 codes and documentation
Language: Fortran - Size: 35.3 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 24 - Forks: 1
mlr-org/mlr3cluster
Cluster analysis for mlr3
Language: R - Size: 7.9 MB - Last synced at: 2 days ago - Pushed at: about 1 month ago - Stars: 23 - Forks: 6
JoachimGoedhart/PlotTwist
PlotTwist - a web app for plotting and annotating time-series data
Language: R - Size: 3.94 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 4
debsin/dropClust
Version 2.1.0 released
Language: R - Size: 188 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 23 - Forks: 8
volfpeter/localclustering
Python 3 implementation and documentation of the Hermina-Janos local graph clustering algorithm.
Language: Python - Size: 2.48 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 1
gagolews/genie
Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
Language: C++ - Size: 409 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 3
PetoLau/CoronaDash
COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
Language: R - Size: 3.05 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 8
MBAigner/PDFSegmenter
This library builds a graph-representation of the content of PDFs. The graph is then clustered, resulting page segments are classified and returned. Tables are retrieved formatted as a CSV.
Language: Python - Size: 399 KB - Last synced at: 16 days ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 3
hlennon/LCTMtools
Latent Class Trajectory Models: An R Package
Language: R - Size: 156 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 14
RamiKrispin/ts-cluster-analysis-r
Materials for the the Analyzing Time Series at Scale with Cluster Analysis in R Workshop
Language: HTML - Size: 89 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 19 - Forks: 4
hermesespinola/FOA-Kmeans-Color-Image-Segmentation
Clustering analysis using an evolutionary optimization algorithm based on nature, Forest Optimization Algorithm
Language: MATLAB - Size: 627 KB - Last synced at: 11 months ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 9
aryashah2k/Datalogy-Customer-Segmentation-Data-Science-Internship
A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.
Language: Jupyter Notebook - Size: 21.3 MB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 4
lettier/interactivekmeans
Interactive HTML canvas based implementation of k-means.
Language: JavaScript - Size: 4.64 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 15 - Forks: 2
Mthrun/FCPS
The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.
Language: HTML - Size: 5.81 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 1
m-clark/R-models
A quick reference for how to run many models in R.
Language: R - Size: 21 MB - Last synced at: 13 days ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 1
AlexandrovLab/SigProfilerClusters
Tool for analyzing the inter-mutational distances between SNV-SNV and INDEL-INDEL mutations. Tool separates mutations into clustered and non-clustered groups on a sample-dependent basis.
Language: Python - Size: 1.68 MB - Last synced at: 13 days ago - Pushed at: 27 days ago - Stars: 12 - Forks: 1
instamatic-dev/edtools
Collection of tools for automated processing and clustering of electron diffraction data
Language: Python - Size: 451 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 11 - Forks: 9
clusterking/clusterking
Cluster sets of histograms/curves, in particular kinematic distributions in high energy physics.
Language: Python - Size: 2.95 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 11 - Forks: 1
AiCorsair/Dataquest-Data-Science-Analysis-Projects
A repository dedicated to storing guided projects completed while learning data science concepts with Dataquest.
Language: Jupyter Notebook - Size: 74 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 11 - Forks: 3
dmattek/ARCOS
An R package to detect collective spatio-temporal phenomena
Language: R - Size: 50.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 11 - Forks: 3
BerkKilicoglu/ML-Modelling-Disease-Analysis
Obtaining meaningful results from the data set using the model trained with machine learning methods.
Language: Python - Size: 5.14 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 1
philips-labs/demo-clustering-longitudinal-data
Supplementary materials for the manuscript "Clustering of longitudinal data: A tutorial on a variety of approaches" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel (2021)
Language: R - Size: 18.6 KB - Last synced at: 13 days ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 9
uef-machine-learning/fastdp
Fast variant of Density Peaks clustering
Language: C - Size: 21 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 4
NicolasH2/ggdendroplot
dendrograms in ggplot2.
Language: R - Size: 626 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 0
alashkov83/S_Dbw
S_Dbw validity index. Adapted for DBSCAN (and similar)
Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 5
PetoLau/ClusterForecast
Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data
Language: R - Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 5
Devinterview-io/cluster-analysis-interview-questions
🟣 Cluster Analysis interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
Size: 15.6 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1
jayelm/ca-parkinsons
Cluster analysis of Parkinson's disease
Language: R - Size: 82.4 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 6
benjaminirving/perfusion-slic
Simple Linear Iterative Clustering adapted for 4D DCE-MRI or other perfusion imaging
Language: Python - Size: 271 KB - Last synced at: almost 2 years ago - Pushed at: almost 9 years ago - Stars: 9 - Forks: 1
eren-ck/finch
A Python implementation of "FINCH Clustering Algorithm (CVPR 2019)"
Language: Python - Size: 460 KB - Last synced at: 14 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 2
ScialdoneLab/CIARA
CIARA (Cluster Independent Algorithm for the identification of markers of RAre cell types) is an R package that identifies potential markers of rare cell types looking at genes whose expression is confined in small regions of the expression space
Language: R - Size: 76.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 0
albertopessia/Kpax3.jl
Bayesian bi-clustering of categorical data
Language: Julia - Size: 530 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 7
skacem/Strategic-Business-Analytics-Foundations
Foundations of strategic business analytics (in Python) by ESSEC Business School
Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: 2 days ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 4
nunofachada/amvidc
Data clustering algorithm based on agglomerative hierarchical clustering (AHC) which uses minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria.
Language: Matlab - Size: 131 KB - Last synced at: about 1 month ago - Pushed at: over 9 years ago - Stars: 8 - Forks: 4
emso-exe/Analise_de_rh_-_people_analytics
Projeto de people analytics, utilizando machine learning na clusterização de dados de funcionários que poderão deixar a empresa.
Language: Jupyter Notebook - Size: 28.4 MB - Last synced at: 29 days ago - Pushed at: 8 months ago - Stars: 7 - Forks: 2
Aidenzich/HelloBERTopic
BERTopic 中文使用範例
Language: Jupyter Notebook - Size: 6.15 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 0
sidharth178/The-Battle-of-Neighborhoods-Capstone-Project
The objective of this project is to find the best place or neighbourhood in Toronto to open a restaurant or startup using Foursquare location data.
Language: Python - Size: 27.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 5
abjur/tjsp_app
Shiny app that makes cluster analysis of some productivity measures from TJSP
Language: R - Size: 23.8 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0
Andreoliveira85/My-data-machine-learning-portfolio
Portfolio with data science and machine learning projects I developed during my training in data science.
Size: 8.87 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1
Liang-Team/Sequenzo
A fast, scalable, and intuitive Python package in social sequence analysis.
Language: Jupyter Notebook - Size: 50.4 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 6 - Forks: 1
uef-machine-learning/Balanced_k-Means_Revisited
Balanced k-Means Revisited algorithm
Language: C - Size: 6.68 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0
V-MalM/Stock-Clustering-and-Prediction Fork of dschoen24/Stock-Prediction
To build, train and test LSTM model to forecast next day 'Close' price and to create diverse stock portfolios using k-means clustering to detect patterns in stocks that move similarly with an underlying trend i.e., for a given period, how stocks trend together.To deploy our findings to an app along with an interactive dashboard to predict the next day ‘Close’ for any given stock.
Language: Jupyter Notebook - Size: 58.1 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1
nejci/Pepelka
Pepelka is a MATLAB toolbox for data clustering and visualization.
Language: MATLAB - Size: 38.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0
acabassi/coca
R package for COCA: Cluster-of-Clusters Analysis
Language: R - Size: 2.28 MB - Last synced at: 25 days ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 2
rtimbro185/syr_mads_mar653_marketing_analytics
Syracuse University, Masters of Applied Data Science - MAR 653 Marketing Analytics
Language: HTML - Size: 50.8 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 2
eXascaleInfolab/daoc
DAOC (Deterministic and Agglomerative Overlapping Clustering algorithm): Stable Clustering of Large Networks
Language: C++ - Size: 117 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 0
PetoLau/UnsupervisedEnsembles
Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.
Language: R - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 4
aniket1992/High-Profile-Doctor-Segmentation
Segmenting High profile doctors for Pharma company for maximising returns.
Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 8
adanjoga/cvik-toolbox
CVIK is a Toolbox for the automatic determination of the number of clusters on data clustering problems
Language: MATLAB - Size: 4.87 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 2
nafisalawalidris/911-Call-Analysis
The 911 Call Analysis project explores and visualises emergency call data to uncover patterns and trends. It includes data preparation, exploratory analysis, visualizing call volume and reasons and generating heatmaps. Users can customize the code for their dataset. The project relies on libraries like Pandas, NumPy, Matplotlib, Seaborn, and SciPy
Language: Jupyter Notebook - Size: 24.1 MB - Last synced at: 23 days ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0
acabassi/klic
R package for KLIC: Kernel Learning Integrative Clustering
Language: R - Size: 22.4 MB - Last synced at: 12 days ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 3
c3duan/Time-Series-Classifier
Anomaly Classification in Time Series Data
Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 0
myntra/Analyse-Redis-Cluster-nodes
Tired of analysing redis cluster using `cluster nodes` command. Try using this simple shell script.
Language: Shell - Size: 1.38 MB - Last synced at: 28 days ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 3
HawxChen/CloudComputing
MapReduce, Spark, Hadoop, PostgreSQL, Cluster Management
Language: Python - Size: 54.7 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 0
mike-liuliu/Min-Max-Jump-distance
Source code of the paper "Min-Max-Jump distance and its applications."
Language: Jupyter Notebook - Size: 104 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0
egy1st/denmune-clustering-algorithm Fork of scikit-learn-contrib/denmune-clustering-algorithm
DenMune is a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are first reduced to 2-D using the t-sne. The algorithm relies on a single parameter K (the number of nearest neighbors). The results show the superiority of DenMune. Enjoy the simplicty but the power of DenMune.
Language: Jupyter Notebook - Size: 73.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0
pnavaro/GeometricClusterAnalysis.jl
Geometric methods for Cluster Analysis
Language: Julia - Size: 84.3 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0
saskiakutz/BaClAva
GUI for Bayesian cluster analysis of SMLM data
Language: R - Size: 4.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2
VarIr/copac
COPAC clustering
Language: Jupyter Notebook - Size: 21.3 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
JIgor08/Cust_Seg_Project
Projeto de Clusterização com RFV
Language: Jupyter Notebook - Size: 29.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
nredell/RARI
A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions
Language: Python - Size: 368 KB - Last synced at: 30 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
kaburelabs/bbb-twitter-monitor
Social Media Analysis
Language: Python - Size: 80.4 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3
jirotubuyaki/ThunderBayes.jl
A Julia Package for Bayesian Nonparametric Analysis for Machine Learning
Language: Julia - Size: 278 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
pedrohasselmann/GmodeClass
Adapted G-mode Clustering method for Python 2.7 using Numpy, Scipy and Matplotlib.
Language: Python - Size: 1.12 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1
ArtemKovera/clust
a few different clustering algorithms with python libraries for data science
Language: Jupyter Notebook - Size: 108 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 4
EricPostMaster/Halloween-Candy-Power-Ranking-Cluster-Analysis
This analysis uses Principal Components Analysis and k-Means clustering to identify useful subgroups within FiveThirtyEight's Ultimate Halloween Candy Power Ranking dataset. It also used hypothesis tests to assess whether differences exist between popular and unpopular candies.
Language: R - Size: 4.33 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0
vishalv91/Customer-Analytics
The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.
Language: R - Size: 1.34 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 5
clusterfreak/ClusterCoreSwift
Core classes for cluster analysis - Swift - Fuzzy-C-Means and Possibilistic-C-Means Algorithms based on the Java Version of ClusterCore
Language: Swift - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0
prathmachowksey/Hopkins-Statistic-Clustering-Tendency
A python implementation for computing the Hopkins' statistic (Lawson and Jurs 1990) for measuring clustering tendency of data
Language: Jupyter Notebook - Size: 176 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 4
eXascaleInfolab/daor
DAOR Parameter-free Embedding Framework for Large Graphs (Networks)
Language: C++ - Size: 487 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2
sharmaroshan/Text-Clustering
It is a very different task, as here I am going to cluster 200 different texts related to games and sports in 2 or more different clusters. we can also use zipf plot to determine how many useful clusters can be formed.
Language: Jupyter Notebook - Size: 495 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 5
tjkemp/likert-clusters 📦
A jupyter notebook for likert data cluster analysis and visualization of Finland's parliamentary election 2015
Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 0
PetoLau/ClipStream
ClipStream - multiple data streams clustering method
Language: R - Size: 33.2 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 2
uef-machine-learning/tspgclu
Fast but accurate approximation of Ward's agglomerative clustering using a fully connected TSP graph
Language: C - Size: 8.18 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0