[MINI] k-means clustering
Data Skeptic20 Helmi 2015

[MINI] k-means clustering

The k-means clustering algorithm is an algorithm that computes a deterministic label for a given "k" number of clusters from an n-dimensional datset. This mini-episode explores how Yoshi, our lilac crowned amazon's biological processes might be a useful way of measuring where she sits when there are no humans around. Listen to find out how!

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(601)

Quantum K-Means

Quantum K-Means

In this episode, we interview Jonas Landman, a Postdoc candidate at the University of Edinburg. Jonas discusses his study around quantum learning where he attempted to recreate the conventional k-mean...

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K-Means in Practice

K-Means in Practice

K-means is widely used in real-life business problems. In this episode, Mujtaba Anwer, a researcher and Data Scientist walks us through some use cases of k-means. He also spoke extensively on how to p...

4 Huhti 202230min

Fair Hierarchical Clustering

Fair Hierarchical Clustering

Building a fair machine learning model has become a critical consideration in today's world. In this episode, we speak with Anshuman Chabra, a Ph.D. candidate in Computer Networks. Chhabra joins us to...

28 Maalis 202234min

Matrix Factorization For k-Means

Matrix Factorization For k-Means

Many people know K-means clustering as a powerful clustering technique but not all listeners will be as familiar with spectral clustering. In today's episode, Sibylle Hess from the Data Mining group a...

21 Maalis 202230min

Breathing K-Means

Breathing K-Means

In this episode, we speak with Bernd Fritzke, a proficient financial expert and a Data Science researcher on his recent research - the breathing K-means algorithm. Bernd discussed the perks of the alg...

14 Maalis 202242min

Power K-Means

Power K-Means

In today's episode, Jason, an Assistant Professor of Statistical Science at Duke University talks about his research on K power means. K power means is a newly-developed algorithm by Jason and his tea...

7 Maalis 202232min

Explainable K-Means

Explainable K-Means

In this episode, Kyle interviews Lucas Murtinho about the paper "Shallow decision treees for explainable k-means clustering" about the use of decision trees to help explain the clustering partitions. ...

3 Maalis 202225min

Customer Clustering

Customer Clustering

Have you ever wondered how you can use clustering to extract meaningful insight from a time-series single-feature data? In today's episode, Ehsan speaks about his recent research on actionable feature...

28 Helmi 202222min

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