DBSCAN

k-Means Clustering

के-मिन्स क्लस्टरिङ

An algorithm that groups data into k clusters around computed center points.

Clustering

क्लस्टरिङ / समूहीकरण

Grouping similar data points together without using predefined labels.

Gaussian Mixture Model

गाउसियन मिक्स्चर मोडेल

A clustering model that assumes data comes from several overlapping bell-shaped groups.

Hierarchical Clustering

श्रेणीबद्ध क्लस्टरिङ

Building nested clusters by repeatedly merging or splitting groups.

Anomaly Detection

असामान्यता पहिचान

Spotting data points that deviate sharply from normal patterns, e.g. fraud or faults.

Contour

कन्टुर / रूपरेखा

A curve joining points of equal value, used to outline shapes in an image.

Differential Privacy

डिफरेन्सियल गोपनीयता

A method that adds noise to data so individuals can't be identified while patterns remain useful.

Diffusion Model

डिफ्युजन मोडेल

A generative model that creates images by gradually removing noise from random data.