Publications by Meghana
Image Classification
R Markdown Load necessary libraries options(warn = -1) library(imager) ## Loading required package: magrittr ## ## Attaching package: 'imager' ## The following object is masked from 'package:magrittr': ## ## add ## The following objects are masked from 'package:stats': ## ## convolve, spectrum ## The following object is masked fro...
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Clustering using US Arrests data
#Introduction In this analysis, we perform clustering on the USArrests dataset, applying different methods such as k-means clustering and hierarchical clustering. We also visualize the results using PCA and dendrograms to compare the clustering outcomes. # Load and preview the dataset data(USArrests) head(USArrests) ## Murder Assau...
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Principal Component Analysis
Introduction In this analysis, we perform Principal Component Analysis (PCA) on the mtcars dataset, which includes various specifications of different car models. PCA helps to reduce the dimensionality of the dataset while retaining as much variance as possible, allowing for easier visualization and analysis. # Load necessary libraries library...
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Cluster Analysis
Clustering Analysis using k-means, DBSCAN, and Evaluation Metrics in R #1. Introduction The k-means and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) methods are used to do clustering analysis in this tutorial. In order to determine the ideal number of clusters, we also investigate various approaches, including the Elbow ...
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Machine learning techniques
R Markdown Load necessary libraries options(warn = -1) library(imager) library(caret) library(dplyr) library(nnet) # For multinomial logistic regression library(factoextra) library(keras) library(tensorflow) library(pROC) # For ROC analysis options(warn = -1) # Define the path to the image folders base_dir <- “C:/Users/MEGHANA/Downloads/Linn...
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Document
output: html_document ANN Implementation with the Haberman’s Survival Data About the Dataset. The Haberman’s Survival Dataset is a collection of data from a study conducted on the survival of patients who had undergone surgery for breast cancer. The dataset includes 306 instances, with each entry containing three features: the patient’s ...
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