There are 3 repositories under mahalanobis-distance topic.
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.
统计分析课程实验作业/包含《统计分析方法》中因子分析,主成分分析,Kmeans聚类等典型算法的手写实现
Multi-target tracker based on cost computation.
Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationships between West Texas Intermediate and S&P 500, Dow Jones Utility Avg, US Dollar Index Futures , US 10 Yr Treasury Bonds , Gold Futures.
:toothbrush: Unofficial re-implementation of Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
EfficientNetV2 based PaDiM
Graph-based image anomaly detection algorithm leveraging on the Graph Fourier Transform
Showcase how machine learning can help plant operator monitor equipment condition through correctly analyzing measurement data collected from many sensors.
Course submission material for Lidar point cloud based 3D Detection using Yolo, followed by Sensor Fusion and Camera Based Tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree
Defect Classification in Injection Molding Using Machine Learning
An implementation of a density based outlier detection method - the Local Outlier Factor Technique, to find frauds in credit card transactions. For detecting both local and global outliers.
Plugins to Phy1 - additional features to Phy
This Project is detect outliers in sensor networks. We are using ISSNIP Single hop dataset for this.
Detecting Outliers in Network Meta-Analysis
A Data Mining Streamlit Application for Astrophysical Prediction using Random Forest Classification in Python
📌 1. Compute the Mahalanobis distance from a centroid for a given set of training points. 2. Implement Radial Basis function (RBF) Gaussian Kernel Perceptron. 3. Implement a k-nearest neighbor (kNN) classifier
An application of Mahalanobis distance to classify breast density on the BIRADS scale.
Contains the codes for Extended Histogram of Gradients for object recognition developed by me during my PhD studies.
A credit card fraud detection algorithm.
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python
A collection of interesting, memorable, and well... mundane projects developed for and during my bachellor's and master's degree at PUPR(San Juan, PR) and JHU(Baltimore, MD), respectively.
Fisher Linear Discriminant Analysis (FLD) Application
Homeworks done for SHM Course on PPGEM (FEIS/UNESP).
Tools for quantifying latent space class separations
Finding Covariance Matrix, Correlation Coefficient, Euclidean and Mahalanobis Distance
This repository is about the implementation of Mahalanobis Distance outlier detection as a one class classification model. This has been achieved using Python
A simple implementation of the mahalanobis-distance which is useful in different areas and applications.
Leveraging latent representations for efficient textual OOD detection
Project on extending a Neural Partitioner for the M149 - Database Systems course, NKUA, Spring 2023.
The transformer that transforms data so to squared norm of transformed data becomes Mahalanobis' distance.
Classification using KNN on Vertebral Column Data Set