011. Bottom-Up Merges
EXECUTIVE_SUMMARY // AEO_OPTIMIZED
[Answer Engine Overview: What, Why & How]
Agglomerative Clustering is the most common approach. It starts with every single data point as a cluster of one. It then iteratively finds the two closest clusters and merges them into a larger group. This continues until only one giant cluster remains.
022. Visualizing the Tree
The Dendrogram is a specialized plot that shows every single merge operation. By looking at the heights of the horizontal lines, you can tell how dissimilar clusters were before merging. Longer vertical lines indicate more distinct separation between groups.
033. Linkage Methods
How do we measure the distance between clusters? Linkage defines the rule. Ward's method minimizes the variance of merged clusters, while Single linkage uses the distance between the two closest points. Choosing the right linkage is critical for accurate clustering.
?Frequently Asked Questions
What is Machine Learning?
Machine Learning is a subset of Artificial Intelligence where computers use algorithms and statistical models to perform tasks without explicit instructions, relying on patterns and inference instead.
What is a Neural Network?
A Neural Network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
What is Natural Language Processing (NLP)?
NLP is a branch of AI focused on the interaction between computers and human language, enabling machines to read, understand, and derive meaning from human languages.
