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clustering-algorithm

Here are 83 public repositories matching this topic...

anishsingh20 / Statistical-Learning-using-R

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

Updated Apr 7, 2018
R

pravinknr / DataScience_R_Codes

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

data-science r random-forest linear-regression machine-learning-algorithms naive-bayes-classifier confidence-intervals logistic-regression support-vector-machine association-rules hypothesis-testing decision-tree descriptive-statistics nlp-machine-learning clustering-algorithm decision-tree-classifier k-nearest-neighbours forecasting-models principle-component-analysis

Updated Aug 21, 2023
R

rezakj / iCellR

Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).

clustering dropout batch-normalization imputation scrna-seq diffusion-maps clustering-algorithm 3d umap normalization 10xgenomics cell-type-classification intractive-graph cite-seq singel-cell-sequencing pseudotime scvdj-seq icellr

Updated Jul 10, 2024
R

prabhakarlab / Banksy

BANKSY: spatial clustering

clustering-algorithm single-cell-omics spatial-omics

Updated Jun 13, 2024
R

jirotubuyaki / ThunderBayesR

An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.

Updated Jun 30, 2022
R

neurodata / knorR

R bindings for knor

machine-learning parallel-computing clustering-algorithm

Updated Mar 30, 2020
R

PetoLau / ClipStream

ClipStream - multiple data streams clustering method

data-science machine-learning data-mining r data-stream forecasting cluster-analysis clustering-algorithm time-series-analysis data-stream-clustering time-series-representations data-stream-mining electricity-consumption-forecasting

Updated Nov 26, 2018
R

roqib12 / Tugas-Besar-Data-Mning

Tugas Besar Data Mining 2020

r clustering-algorithm classification-algorithm

Updated Jan 30, 2021
R

mauropelucchi / machine-learning-course

Machine Learning and Deep Learning Course

Updated Feb 18, 2019
R

rahchandra / DataScience

python c-sharp docker data-science r arcgis luigi regression-models clustering-algorithm classification-algorithm

Updated Apr 29, 2017
R

sachin17git / Air-quality-clustering-analysis

python data-visualization cluster-analysis shinydashboard clustering-algorithm k-means-clustering shiny-r

Updated Jul 31, 2022
R

archowdhury / Partitioning-Around-Medoids-PAM-using-R

This project demonstrates how to use the "Partitioning Around Medoids" (PAM) technique to create clusters

clustering pam cluster partitioning-algorithms segmentation partitioning cluster-analysis clustering-algorithm iris-dataset medoids

Updated Aug 31, 2017
R

pravinwagh / R-Projects

Data Science Projects in R

data-science data r naive-bayes linear-regression exploratory-data-analysis classification logistic-regression apriori association-rules knn clustering-algorithm

Updated Feb 25, 2017
R

junyzhou10 / clusterMLD

Clustering longitudinal data with potential sparse, irregular observations, multiple outcomes, and unbalanced cluster sizes

longitudinal-data r-package clustering-algorithm parallel-programming

Updated Nov 23, 2022
R

Pranavi1990 / Clustering

To study the customer profile coming to a mall. We try to solve this problem using Clustering technique.

rstudio statistical-analysis clustering-algorithm unsupervised-machine-learning heirarchical-clustering

Updated Sep 24, 2022
R

dixitamol / insuranceSalePredictor

The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.

python r neural-network insurance random-forest svm regression logistic-regression machinelearning pruning kmeans decision-trees boruta unsupervised-learning predictive-analytics clustering-algorithm machinelearning-python propensity-modelling customerprofile

Updated May 23, 2021
R

arthur-silveirasc / DataScienceProjects

Projects who cover topics from text mining up to classification, association, clustering and regression algorithms

Updated May 16, 2021
R

Piyushmittal2192 / k-Means-Clustering-on-Dungaree-Data-Set

Objective : Find the optimum number of clusters using k-Means to group the sales of Dungaree Jeans

clustering cluster-analysis clustering-algorithm k-means-clustering plot-cluster

Updated Sep 3, 2018
R

PaulRegnier / PICAFlow

PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.

clustering cluster immunology transformation cluster-analysis clustering-algorithm fcs cytometry normalization fcs-files immunological-bioinformatics downsampling cytometry-data cytometry-analysis-pipeline immunological-data

Updated Jul 16, 2024
R

MariaClaraMendes / Multivariate-Statistics-Project

Multivariate Statistics Project

reconciliation neural-networks pca outlier-detection clustering-algorithm

Updated May 5, 2021
R

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