Unstructured data is messy, scattered, and multimodal — making it hard to manage and essential to control for successful ...

They assume that having cloud storage, a few BI dashboards or an AI pilot means they’ve “checked the box.” But these are just ...

In this paper, we address the subspace clustering problem. Given a set of data samples (vectors) approximately drawn from a union of multiple subspaces, our goal is to cluster the samples into their ...

A comprehensive collection of Data Structures and Algorithms implemented in C. Includes Linked Lists, Stacks, Queues, Trees, Graphs, Sorting & Searching algorithms with detailed explanations and code.

In this paper, we study dictionary learning (DL) approach to identify the representation of low-dimensional subspaces from high-dimensional and nonnegative data. Such representation can be used to ...