Clustering : theory.
Dr. Chirag Shah, PhD, explains two approaches to clustering, an unsupervised machine learning method: the agglomerative, bottom-up approach where the starting point is the data set, and the divisive, top-down approach where the starting point is "k" number of clusters.
| Other Authors: | |
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| Format: | Video |
| Language: | English |
| Language Notes: | Closed-captions in English. |
| Published: |
Somerset :
Chirag Shah,
2018.
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| Series: | Machine Learning for Data Science ;
15. |
| Subjects: | |
| Online Access: | Connect to this streaming video |
| Summary: | Dr. Chirag Shah, PhD, explains two approaches to clustering, an unsupervised machine learning method: the agglomerative, bottom-up approach where the starting point is the data set, and the divisive, top-down approach where the starting point is "k" number of clusters. |
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| Physical Description: | 1 online resource (1 video file (00:32:34)) : sound, colour. |
| ISBN: | 9781526469199 1526469197 |