k-Nearest Neighbour Classifiers
Pádraig Cunningham and Sarah Jane Delany
Thorough technical review of kNN classifiers covering distance metrics, feature weighting, and computational optimizations.
Loading the book...
Keep reading
-
Next in this topic
Hierarchical ClusteringPrinceton lecture notes on hierarchical clustering methods covering agglomerative and divisive approaches with linkage criteria.
Verified PDF · Secure download - Machine Learning with Python Tutorial
Hands-on Python ML tutorial covering NumPy, scikit-learn, neural networks, and decision trees with executable code examples throughout.
Verified PDF · Secure download - Machine Learning with Python
Step-by-step guide to ML with Python covering data preprocessing, classification, regression, and clustering with scikit-learn.
Verified PDF · Secure download - Python Machine Learning Projects
Project-based guide building real ML applications including sentiment analysis, Twitter bot, and image classification with complete code.
Verified PDF · Secure download - The Shallow and the Deep
Comprehensive textbook on neural network architectures from shallow perceptrons to deep learning, covering theory and practical applications.
Verified PDF · Secure download