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eBook details

• Title: CLUSTER Analysis And Classification Techniques Using MATLAB
• Author : César Pérez López
• Release Date : January 13, 2020
• Genre: Databases,Books,Computers & Internet,Professional & Technical,Engineering,
• Pages : * pages
• Size : 2026 KB

Description

Cluster analisys is a set of unsupervised learning techniques to find natural groupings and patterns in data. Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, bioinformatics, data compression, and computer graphics.
Cluster analysis, also called segmentation analysis or taxonomy analysis, partitions sample data into groups or clusters. Clusters are formed such that objects in the same cluster are very similar, and objects in different clusters are very distinct. Cluster visualization options include dendrograms and silhouette plots.

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