clustering – Andrew Fairless, Ph.D.

What I Read: Inducing hierarchy for multi-class classification

By Andrew Fairless on February 22, 2024January 7, 2024

https://arxiv.org/abs/2102.10263 Inducing a hierarchy for multi-class classification problemsHayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj, Kate Lytvynets, Oriana Riva, Christopher White, Ali Geisa, Carey E. Priebe “In applications where categorical labelsContinue readingWhat I Read: Inducing hierarchy for multi-class classification

What I Read: Topological Data Analysis

By Andrew Fairless on August 23, 2023July 9, 2023

https://datarefiner.com/feed/why-tda Why you should use Topological Data Analysis over t-SNE or UMAP?Edward KibardinApril 17, 2023 “Have you tried to run a complex supervised machine learning model, only to find unexpectedContinue readingWhat I Read: Topological Data Analysis

What I Read: Unsupervised Learning Metrics

By Andrew Fairless on June 8, 2023May 1, 2023

https://www.kdnuggets.com/2023/04/exploring-unsupervised-learning-metrics.html Exploring Unsupervised Learning MetricsCornellius Yudha WijayaApril 13, 2023 “This article will discuss the metrics used to evaluate unsupervised machine learning algorithms…”

What I Read: ML, Engagement, Maternal and Child Health

By Andrew Fairless on October 27, 2022September 9, 2022

https://ai.googleblog.com/2022/08/using-ml-to-boost-engagement-with.html Using ML to Boost Engagement with a Maternal and Child Health Program in IndiaWednesday, August 24, 2022Posted by Aparna Taneja, Software Engineer, and Milind Tambe, Principal Scientist, Google Research,Continue readingWhat I Read: ML, Engagement, Maternal and Child Health

What I Read: Text Embeddings Visually Explained

By Andrew Fairless on July 26, 2022July 8, 2022

https://txt.cohere.ai/text-embeddings/ Text Embeddings Visually ExplainedMeor AmerJun 28, 2022 “We take a visual approach to gain an intuition behind text embeddings, what use cases they are good for, and how theyContinue readingWhat I Read: Text Embeddings Visually Explained

What I Read: Identifying Document Types

By Andrew Fairless on August 11, 2021July 22, 2021

https://tech.scribd.com/blog/2021/identifying-document-types.html Identifying Document Types at ScribdJonathan RamkissoonJuly 12, 2021 “User-uploaded documents have been a core component of Scribd’s business from the very beginning, understanding what is actually in the documentContinue readingWhat I Read: Identifying Document Types

What I Read: SwAV method

By Andrew Fairless on August 2, 2021July 12, 2021

https://m0nads.wordpress.com/2021/01/08/the-swav-method/ The SwAV methodAntonio Ferraioli “The SwAV method is a clustering-based online method whose goal is to learn visual features in an online fashion without supervision.”

What I Read: Clustergam

By Andrew Fairless on May 20, 2021May 1, 2021

https://martinfleischmann.net/clustergam-visualisation-of-cluster-analysis/ Clustergam: visualisation of cluster analysis“Clustergram is a two-dimensional plot capturing the flows of observations between classes as you add more clusters.”

What I Read: Isolation Forest

By Andrew Fairless on February 16, 2021January 18, 2021

https://towardsdatascience.com/isolation-forest-is-the-best-anomaly-detection-algorithm-for-big-data-right-now-e1a18ec0f94f Isolation Forest is the best Anomaly Detection Algorithm for Big Data Right NowAndrew YoungNov 13 “Isolation forest or “iForest” is an astoundingly beautiful and elegantly simple algorithm that identifiesContinue readingWhat I Read: Isolation Forest

What I Read: What Color Is This? Part 2

By Andrew Fairless on February 3, 2021January 8, 2021

https://multithreaded.stitchfix.com/blog/2020/10/13/what-color-is-this-part-2/ What Color Is This? Part 2Blog post by Dan TasseDan TasseOctober 13, 2020 – San Francisco, CAWhat Color Is This, Part 2: The Computational Parts “We have to findContinue readingWhat I Read: What Color Is This? Part 2

Tag: clustering