In contrast — continuous data shows any value from a given range. Understanding the numerical data and the difference between discrete and continuous data might pose a challenge initially.

A structured similarity graph that is theoretically optimal for clustering performance is adaptively learned with a guidance of reasonable rank constraints. Besides, to avoid the information loss, we ...

Spectral clustering plays a significant role in applications that rely on multi-view data due to its well-defined mathematical framework and excellent performance on arbitrarily-shaped clusters.

Discrete Mathematics & Graph theory Lecture Notes Common to CSE, IT, CSE ( DS), CSE (IoT), CSE (AI), CSE (AI & ML) and AI & DS Branches All below syllabus is coved in this lecture note Discrete ...

This course provides an introduction to discrete mathematics, particularly graph theory. Emphasis will be placed on the algorithmic aspects of the area.

Graphs and Trees This repository contains the solution for Lab 4: Graphs and Trees, assigned for the (CSE214) Discrete Structures course. The assignment consists of three main tasks related to graphs ...

Explore the transition from discrete to continuous domains using statistical moments of repeated integers in π. Discover the refined fit and moments with controlled smoothing factor using Mathematica.