Fremont, CA, United States of America

Frank J Derose


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 63(Granted Patents)


Company Filing History:

goldMedal1 out of 832,966 
Other
 patents

Years Active: 1998

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1 patent (USPTO):Explore Patents

Title: Frank J Derose: Innovator in Data Clustering Technology

Introduction

Frank J Derose is a notable inventor based in Fremont, CA (US). He has made significant contributions to the field of data clustering, particularly through his innovative methods for handling multi-dimensional related data. With a focus on enhancing data analysis, his work has implications for various technological applications.

Latest Patents

Frank J Derose holds a patent for a method of clustering multi-dimensional related data in a computer. This patent outlines a systematic approach to identifying features from a collection of data, represented by vertices. The method involves selecting pairs of features for clustering, connecting them with edges, and assigning scores to these edges based on a predetermined formula. By selecting the highest-scoring edge, a new vertex is created through the merging of connected vertices, with new edges established accordingly. This process is repeated until all edges meet a predetermined score, showcasing an efficient way to manage complex data relationships.

Career Highlights

Throughout his career, Frank has demonstrated a commitment to advancing data processing technologies. His innovative methods have not only contributed to academic research but have also been applied in practical scenarios, enhancing the efficiency of data analysis in various industries.

Collaborations

Frank has collaborated with notable professionals in his field, including Richard Frederick Poppen and Brian Eric Smartt. These collaborations have fostered a rich exchange of ideas and have contributed to the development of cutting-edge technologies in data clustering.

Conclusion

Frank J Derose's contributions to the field of data clustering exemplify the impact of innovative thinking in technology. His patent and collaborative efforts highlight the importance of advancing methods for data analysis, paving the way for future developments in this critical area.

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