Vishnu Pendyala of San Jose State University

Clustering methods demonstrated their transformative potential across various industries through image segmentation, anomaly detection, bioinformatics, and customer segmentation. In this talk, the speaker will explore these techniques in unsupervised machine learning, focusing on foundational clustering algorithms such as K-means, Hierarchical Clustering, and DBSCAN. Through an in-depth analysis of their underlying principles and computational intricacies, the speaker will highlight how these methods have evolved to address complex, high-dimensional data problems. Attendees will learn how K-means remains a versatile tool for partitioning data in linear spaces. The talk will delve into Hierarchical Clustering's unique approach to building dendrograms and capturing multi-scale data relationships and how DBSCAN's density-based framework reveals clusters amidst noise, making it ideal for discovering patterns in irregular, real-world datasets. The session offers a comprehensive understanding of these algorithms. It equips aspiring data scientists and industry professionals with the tools to harness the power of clustering for impactful, data-driven decisions.

Biography:

Vishnu S. Pendyala, PhD is a faculty member in Applied Data Science and an Academic
Senator with San Jose State University, current chair of the Santa Clara Valley Chapters of
IEEE Computer and Computational Intelligence Societies, Area 4 Coordinator for Region 6,
and a Distinguished Contributor of the IEEE Computer Society. As a past
ACM Distinguished Speaker, researcher, and industry expert, he gave nearly 100 talks and
tutorial sessions in various forums such as faculty development programs, the 12th IEEE
GHTC, IEEE ANTS, 12th IACC, 10th ICMC, IUCEE, 12th ACM IKDD CODS and 30th COMAD to
audiences at venues such as Stanford University, Google, University of Bolton, Computer
History Museum, Universidad de Ingeniería y Tecnología, Lima, Peru, IIIT Hyderabad, KREA,
IIT Jodhpur, University of Hyderabad, IIT Indore, IIIT Bhubaneswar. Some of these talks are
available on YouTube and IEEE.tv. He is a senior member of the IEEE and ACM. He has over
two decades of experience in the software industry in the Silicon Valley, USA. His book,
“Veracity of Big Data,” is available in several libraries, including those of MIT, Stanford,
CMU, the US Congress and internationally. Two other books on machine learning and
software development that he edited are also well-received and found place in the US
Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course
sponsored by the Ministry of Human Resource Development (MHRD), Government of India,
under the GIAN program in 2017 to Computer Science faculty from all over the country and
delivered the keynote in a similar program sponsored by AICTE, Government of India in
2022. Dr. Pendyala served on a US government's National Science Foundation (NSF)
proposal review panel in 2023. He received the Ramanujan memorial gold medal and a
shield for his college at the State Math Olympiad. He also played an active role in the
Computer Society of India and was the Program Secretary for its annual national
convention.

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