October 26, 2023 In Data Science Occam’s razor – principle of parsimony Occam's Razor is a principle that has its origins in medieval European scholasticism, and as a Japanese person, I feel a little embarrassed to discuss it. As always, check out… Read More
October 24, 2023 In Data Science How to use K-means Cluster analysis or data clustering can be hierarchical or non-hierarchical, and K-means is non-hierarchical clustering. The K-means procedure is very straightforward: Arrange K reference vectors with random numbers. The K… Read More
October 17, 2023 In Data Science No Free Lunch Theorem and Feature Engineering Talking about No Free Lunch Theorem is a bit risky. This is because this can be taken as a denial of machine learning algorithms. This is a theorem in the… Read More
October 10, 2023 In Data Science Classification and Clustering Classification and clustering are often confused because they are similar. In machine learning, it is generally explained that classification is supervised learning, and clustering is unsupervised learning. In statistical terms,… Read More
October 7, 2023 In Data Science Concentration on the sphere – The curse of dimensionality When people are going to do something, it is very important that they know the limits of that thing ahead of time. Machine learning methods may not work well with… Read More
October 6, 2023 In Data Science Classification doesn’t exist – Ugly Duckling theorem Descartes conducted thought experiments that thoroughly questioned things in order to establish the scientific method. Does what I am seeing really exist? Perhaps they do not exist when I am… Read More
October 4, 2023 In Data Science How to use Clustering Quality Measures In recent years, clustering quality measures have been calculated in cluster analysis, and many academic societies now require that papers include clustering quality measures as a criterion for adopting a… Read More
September 29, 2023 In Data Science How to identify SOMs that should not be used SOM is a well-known technique that can also be found in R and Python libraries. However, to be frank, most of those SOMs are poorly made and are the cause… Read More
September 11, 2023 In Quantitative business strategy management Competitive analysis map of major data science tools Using ChatGPT, investigated the interoperability of key data science tools and created a map with SOM. I beleive that one of the requirements for the success of a data science… Read More
August 11, 2023 In Quantitative business strategy management Why Self-Organizing Maps is useful in strategy management? The biggest feature of SOM (Self-Organizing Maps) is that it brings the concept of "topology" to data analysis. It is a paradigm shift not only in business strategy management but… Read More