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Recent questions in Clustering - The Data Ensemble
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Hierarchical Clustering is a suggested approach for Large Data Sets
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May 7, 2022
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Clustering - The Data Ensemble
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sharadyadav1986
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What is the R function to apply hierarchical clustering to a matrix of distance objects ?
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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What is the R Function to divide a dataset into k clusters ?
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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K Means algorithm assumes Eucledian Space/Distance
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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Sampling is one technique to pick the initial k points in K Means Clustering
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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The number of rounds for convergence in k means clustering can be lage
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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___________ is a way of finding the k value for k means clustering.
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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_____________ is when points don't move between clusters and centroids stabilize.
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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The ______ is a visual representation of how the data points are merged to form clusters.
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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___________ is the data point that is closest to the other point in the cluster.
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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___________ measures the goodness of a cluster
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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What is the overall complexity of the the Agglomerative Hierarchical Clustering ?
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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A centroid is a valid point in a non-Eucledian space
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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Unsupervised learning focuses on understanding the data and its underlying pattern.
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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Members of the same cluster are far away / distant from each other .
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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___________ of a set of points is defined using a distance measure .
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Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
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Which learning is the method of finding structure in the data without labels.
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Feb 3, 2020
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Clustering - The Data Ensemble
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MBarbieri
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Each point is a cluster in itself. We then combine the two nearest clusters into one. What type of clustering does this represent ?
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Feb 3, 2020
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Clustering - The Data Ensemble
by
MBarbieri
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What is a preferred distance measure while dealing with sets ?
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Feb 3, 2020
in
Clustering - The Data Ensemble
by
MBarbieri
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