100 Best K-Means Videos


K-Means is a popular machine learning algorithm that is used for clustering data. It is a type of unsupervised learning algorithm, which means that it can be used to discover patterns in data without being explicitly told what the patterns are. In the case of K-Means, the algorithm groups data points into clusters based on their similarity. This can be useful for a variety of purposes, such as identifying trends or patterns in data, or for making predictions about future data.

One potential use of K-Means in the context of chatbots is to group user responses into different categories or clusters. For example, a chatbot could use K-Means to group user responses into different clusters based on their similarity. This could allow the chatbot to respond more appropriately to users by recognizing the cluster that their response belongs to, and providing a relevant response. For example, if a user’s response belongs to a cluster that contains mostly positive responses, the chatbot could respond with a positive message. This could help the chatbot to provide more personalized and effective responses to users.

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K-Means & Chatbots 2019

[100x Dec 2020]