Prismatic: Interactive Multi-View Cluster Analysis of Concept Stocks

Prismatic enables interactive cluster have developed hierarchical clusters (e.g., economic sectors analysis with three key analytical processes: 1) cluster generation such as energy and real estate) qualitatively to describe the by holistically overviewing the dynamic data-driven affinity of different business entities based on their market clusters, 2) cluster exploration by contextualizing the clusters coverage and product specialization [2]. To address rapid with business relational knowledge, and 3) cluster validation market changes, professional traders have introduced concept by analyzing temporal correlation patterns at different time stocks [3], hereafter "concepts," to symbolize companies with scales and time horizons. Qualitative analysis within Prismatic shared business operations or similar business models in the relies on business relational knowledge formulated in a multilayer short term. Entities within the cluster are influenced by similar network. We employed a multi-view clustering method sets of economic factors that induce business-specific risks and to consolidate the multiple facets and augment correlationbased opportunities.