heirarchical-clustering

Here are 19 public repositories matching this topic...

psaris / funq

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Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

machine-learning neural-network clustering naive-bayes linear-regression pagerank collaborative-filtering expectation-maximization logistic-regression kdb q k-means decision-trees k-nearest-neighbours reccomendersystem heirarchical-clustering page-rank neural-network-regression neural-network-classification

Updated May 24, 2020
q

rehmanzafar / dlime_experiments

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In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

random-forest scikit-learn python3 neural-networks clusters knn lime classifiers explainable-ai explainable-ml xai heirarchical-clustering breast-cancer-dataset dlime

Updated Nov 25, 2019
Python

perseus784 / Self-organizing-bots

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A group of small robots capable of organizing themselves in any given structure.

python c opencv arduino esp8266 robotics master-slave swarm nearest-neighbors 3d-printing 3d-models swarm-intelligence organizing-bots heirarchical-clustering wheeled-robots corner-harris

Updated Jan 20, 2020
Python

perseus784 / Shape-Finder

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A Shape Finder using Corner-Harris and Heirarchical Clustering

clustering corner-detection opencv-python shape-detection shape-analysis heirarchical-clustering

Updated Dec 31, 2017
Python

DhruvaKumarS / Data-Mining

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CSE601 Course Projects - Fall 2017

naive-bayes-classifier association-rules decision-tree-classifier apriori-algorithm density-based-clustering k-means-clustering k-nearest-neighbor random-forest-classifier heirarchical-clustering boosting-tree pca-implementation mapreduce-k-means

Updated Mar 6, 2018
Python

djdhiraj / Data_Science_In_R

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Complete package for all Data Science models using R. Starting form Preprocessing, Data Manipulation, Feature Engineering, Model Building, and Model Validation.

visualization data-science machine-learning text-mining r clustering graphs logistic-regression stem association-rules roc-curve kmeans-clustering h2oai iris-dataset dbscan-clustering pubg heirarchical-clustering marketbasketanalysis stepaic project-r

Updated Feb 9, 2019
R

kibamin / FuzzyConstraintClustering

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clustering hss heirarchical-clustering semi-supervised-clustering fuzzy-constriant fuzzy-hss

Updated Jul 17, 2019
Python

Legolas10 / Customer-SpendingScore-Segmentation

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In this project, I apply an unsupervised - clustering algorithm to segregate(cluster) customers based on factors such as his/her Spending score in a mall, Frequency of visiting the mall etc.

machine-learning kmeans kmeans-clustering heirarchical-clustering

Updated Mar 19, 2019
Python

kaustubhmulay / YorkU-los-angeles-traffic-collision-data

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An analysis of the Traffic Collision Data from the city of Los Angeles

r los-angeles york-university k-means-clustering heirarchical-clustering descriptive-analysis

Updated May 23, 2020

ellelenlee / data-mining

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data mining and machine learning coursework projects

data data-mining clustering nn mlp forcasting svr heirarchical-clustering partitional-clustering

Updated May 23, 2019
R

SarCode / ML-Code-Tutorials-Udemy

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Complete Tutorial Guide with Code for learning ML

natural-language-processing random-forest svm scikit-learn artificial-neural-networks logistic-regression ucb polynomial-regression kmeans-clustering knearest-neighbor-algorithm apriori-algorithm classification-methods svr kernel-svm kernel-pca heirarchical-clustering decison-trees

Updated Jul 6, 2019
Python

uniquevineet / unsupervised_learning

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Applying unsupervised learning algoriths on online shoppers intention data and model building

random-forest clustering naive-bayes-classifier pca-analysis pca logistic-regression unsupervised-learning knn decision-tree clustering-algorithm decision-tree-classifier kmeans-clustering classification-algorithims kmeans-algorithm unsupervised-machine-learning knn-classification agglomerative-clustering unsupervised-clustering logisticregression heirarchical-clustering

Updated Dec 8, 2019
HTML

yash0422 / Python-for-Data-Science-ML

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SUPERVISED LEARNING: REGRESSION: Linear - Polynomial - Ridge/Lasso CLASSIFICATION: K-NN - Naïve Bayes - Decision Tree - Logistic Regression - Confusion Matrix - SVM TIME SERIES ANALYSIS: Linear & Logistic Regr. - Autoregressive Model - ARIMA - Naïve - Smoothing Technique UNSUPERVISED LEARNING: CLUSTERING: K-Means - Agglomerative - Mean-Shift - Fuzzy C-Mean - DBSCAN - Hierarchical - Canopy DIMENSION REDUCTION: PCA - LSA - SVD - LDA - t-SNE PATTERN SEARCH: Apriori - FP-Growth - Euclat RECOMMENDATION ENGINE: Association Rules - Market Basket Analysis - Apriori Algorithm - Real Rating Matrix - IBCF - (Item) - User-Based Collaborative Filtering UBCF - Method & Model ENSEMBLE METHODS: BOOSTING: AdaBoost - XG Boost - LightGBM - CatBoost. BAGGING: Random Forest STACKING

linear-regression naive-bayes-classifier supervised-learning logistic-regression confusion-matrix decision-trees arima ridge-regression polynomial-regression svm-classifier fuzzy-cmeans-clustering lasso-regression dbscan-clustering knn-classification mean-shift k-means-clustering agglomerative-clustering autoregressive-processes heirarchical-clustering smoothing-methods

Updated May 8, 2020
Jupyter Notebook

tanaya5 / clustering

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recommendation-system ranking-algorithm k-means-clustering pearson-correlation euclidean-distances dendrogram heirarchical-clustering

Updated May 1, 2018
Jupyter Notebook

kaustubhmulay / YorkU-customer-segment-analysis

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Repository for Customer Segment Analysis using Python & Shiny App Dashboard

r shiny shiny-apps association-rules cluster-analysis shinydashboard apriori-algorithm york-university heirarchical-clustering k-medoids-clustering superstore-data-analysis algorithmic-marketing

Updated May 19, 2020
R

ruchit687 / ML-Clustering-KMeans-Hierarichical

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A Shopping mall has certain no. of clients having membership cards, having purchase history of each client. We group clients as per there annual income and spending score(as per purchase history). So they will send promotional notification accordingly.