PyImageSearch

DECEMBER 23, 2024

Traditional exact nearest neighbor search methods (e.g., brute-force search and k -nearest neighbor (kNN)) work by comparing each query against the whole dataset and provide us the best-case complexity of. We will start by setting up libraries and data preparation.

K-nearest Neighbors 115

K-nearest Neighbors Algorithm Deep Learning Deep Learning 115

PyImageSearch

JANUARY 27, 2025

We will start by setting up libraries and data preparation. Setup and Data Preparation For implementing a similar word search, we will use the gensim library for loading pre-trained word embeddings vectors. On Line 28 , we sort the distances and select the top k nearest neighbors. Download the code!

K-nearest Neighbors 96

K-nearest Neighbors Algorithm Data Preparation Database 96

PyImageSearch

SEPTEMBER 16, 2024

Similarly, autoencoders can be trained to reconstruct input data, and data points with high reconstruction errors can be flagged as anomalies. Proximity-Based Methods Proximity-based methods can detect anomalies based on the distance between data points. We will start by setting up libraries and data preparation.

Clustering 57

Clustering Algorithm Machine Learning Machine Learning 57