hirarchical-clustering
There are 22 repositories under hirarchical-clustering topic.
alifrmf/Customer-Segmentation-Using-Clustering-Algorithms
Customer Segmentation Using Unsupervised Machine Learning Algorithms
YoussefAboelwafa/Unsupervised-ML
Unsupervised Machine Learning Models
shanuhalli/Assignment-Clustering
Perform Clustering (Hierarchical, K Means Clustering and DBSCAN) for the airlines and crime data to obtain optimum number of clusters. Draw the inferences from the clusters obtained.
MarahGamdou/Clustering-Platform
The objective of this project is to facilitate the use of clustering algorithms by engineering students who are not specialized in AI.
vigneshprakash1997/Seed-Dataset-Classification-and-Clustering-
The examined group comprised kernels belonging to three different varieties of wheat: Kama, Rosa and Canadian.
032AbhishekChoksi/Machine-Learning-Exercises-with-Datasets
Machine Learning Algorithms Practicals in Python with Datasets
i2a-k/Machine-Learning-and-Pattern-Recognition
Implementation of some classification and clustering methods
Neel7317/Machine_learning-Unsupervised-
Unsupervised learning with different types clustering algorithms..
RajKrishna2123/Rock_Segmentation
Land slide prediction :- the classification of individual rocks into three categories: big, medium, and small. Additionally, the project aims to predict the falling pattern of these rocks by analyzing the provided images of the rock dump.
shanuhalli/Assignment-PCA
Perform Principal component analysis and perform clustering using first 3 principal component scores both Heirarchial and K Means Clustering and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data.
adelelwan24/Credit-Card-Customer-Segmentation
This repository implements customer segmentation techniques to analyze credit card user behavior and identify distinct customer groups. By leveraging Python libraries like pandas, Scipy and scikit-learn.
lokesh97jain/Crime-Analysis-and-Market-Segmentation-Using-Hierarchical-Clustering
Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data and Advanced analytics to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling.
rafiddeshmukh/Netflix_Movies_and_TV_Shows_Clustering
This dataset consists of tv shows and movies available on Netflix as of 2019. Clustering Movies and TV shows
ramahasiba/Clustering_Analysis
Clustering Analysis is used to analyze the travel behaviors, preferences, and attitudes of New York City citizens.
sumedha3/Similar_Plot_Summaries
The project involved natural language processing (NLP) techniques, tokenization, stemming, and the application of the TF-IDF vectorization method.
akeelrashid/Netflix_Movies_TV_Show_Clustering
This project explores Netflix's content evolution, analyzes TV shows and movies, and builds a recommendation system. Discover insights from a dataset of 7,787 titles as of 2019 and learn how we clustered content based on textual features.
amirR01/Modern-Information-Retrieval
Modern Information Retrieval Project
muhammadadilnaeem/Customer-Segmentation-Unsupervised-Learning
This project explores customer segmentation using various clustering techniques on a dataset of mall customers. The goal is to identify distinct customer groups based on demographic and behavioral attributes, enabling businesses to tailor their marketing strategies more effectively.