Keywords Flashcards
(18 cards)
Unsupervised Learning
A Machine Learning that analyses unlabelled data to discover hidden patterns or structures without predefined output
Supervised Learning
A learning approach using labelled data, where the goal is to predict an output from given inputs .
Cluster
A group of data points that are similar to each other and different from data in other groups.
Clustering
The process of grouping similar data points together based on features or distance metrics .
K - Means Clustering
A popular partitioning algorithm that divides data into K - Clusters by minimising the distance between points and cluster centroids
Hierarchical Clustering
A Clustering technique that builds a tree of clusters using merging or splitting , agglomerative or divisive .
Centroid
The average position of all points in a cluster used as the cluster’s representative point in K - means .
Elbow Method
A technique used to determine the optimal number of clusters ( k ) by plotting the sum of squared errors .
Within - Cluster Sum of Squares ( WCSS )
A measure of how compact clusters are ;
Used in evaluating k - means clustering performance.
Dimensionality Reduction
The process of reducing the number of input variables ( features ) while preserving important information .
Dendrogram
A tree-like diagram that shows the hierarchical relationships between clusters .
Principal Component Analysis ( PCA )
A technique that transforms co-related features into unco-related variables called Principal Components .
Singular Value Decomposition ( SVD )
A matrix factorization method that expresses a matrix as the product of three matrices ( U , € , V^t) , Useful in Recommendation systems.
Recommendation System
A system designed to suggest relevant items to users based on preferences , behaviour or similarities .
Content Based Filtering
A recommendation technique that uses the features of items and user preferences to suggest similar items .
Collaborative Filtering
A recommendation approach that makes predictions based on user interactions with items .
User Based Collaborative filtering
A method that recommends items liked by similar users .
Item Based Collaborative Filtering
A method that recommends items that are similar to those previously liked by the user .
