Partitioning in Data Mining | Equal Width | Equal Frequency | Clustering Partitioning Mahesh Huddar

Partitioning in Data Mining | Equal Width Equal | Frequency | Clustering Partitioning Mahesh Huddar
The following concepts are discussed:
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Partitioning in Data Mining,
Equal Width Partitioning,
Equal Frequency Partitioning,
Clustering based Partitioning,
K Means Partitioning
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[@thunderstorm1057]

How is the N calculated in equal width?

[@MaheshHuddar]

In Equal Width Partition, N is the number of partitions or bins

[@thunderstorm1057]

@@MaheshHuddar thanks I got it

[@varishipalivela]

How can i know that there are 3 bins ​@@MaheshHuddar

[@israasalameh6879]

@@varishipalivela square root of N , where N is data size

[@johncholmach7790]

how did we get N in equal width@@MaheshHuddar

[@MadaraUchiha-wj8sl]

You,sir,Thank You

[@MaheshHuddar]

Welcome
Do like share and subscribe

[@CharanMuktha]

Derivation of k-means algorithm sir plse

[@mukeshkunchaparthi77]

We Take Initial Centroids In Ascending Order

[@anjalipothuraju8721]

Our choice

[@Durga_vlogs_]

how you take initial centroids

[@dunno8871]

taken randomly

[@MaheshHuddar]

If not given as a part of problem definition, select centroids randomly