K-means application / PySke examples documentation#9

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Commits on May 5, 2021

Class Point / K-means algorithm
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Commits on May 6, 2021

number of clusters in parameters / test on datasets
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Commits on May 11, 2021

radon cc in k_means_init / pylinting
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Commits on May 25, 2021

Default constructor, addition between two points, multiplication by scalar and by a point
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parrallel optimization in k_means_init
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Commits on May 26, 2021

fix: init instead of from_seq
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Division of a point
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parallel optimization, assign_cluster and update_cluster
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Commits on May 27, 2021

pylinting, typing
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FIX: bad list initialization parallel list
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Changing sample type from custom type "Point" to Tuple
Ak-iu
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Merge remote-tracking branch 'origin/master'
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Commits on May 28, 2021

Add point_interface and changing the class Point to Point_2D
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Merge remote-tracking branch 'origin/master'
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FIX: input_list type form Tuple to Point_2D
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Add class point_3D.py
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rand_point_2D_list / rand_point_3D_list
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Point_3D update
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Typing Point_2D -> Point_Interface
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optimization update_centroids
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Merge remote-tracking branch 'origin/master'
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Merge remote-tracking branch 'clement/master'
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refactoring because of new point implementation
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Commits on May 31, 2021

use of parallelism random choice first centroid
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Commits on Jun 1, 2021

add point dimensions in k-means-main's options
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Commits on Jun 2, 2021

interface convention
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Commits on Jun 4, 2021

parallel optimization update_centroids
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adding option to show clusters graph of 2D points
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Commits on Jun 7, 2021

k-means clustering documentation
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Commits on Jun 8, 2021

3d representation for Point_3D clusters
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error subtraction in distance
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adding colors 3D graph result, fix warning matplotlib
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adding Point Interface section
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change show-clusters display message
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Commits on Jun 9, 2021

dot_product documentation
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adding for each example how to run it
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Commits on Jun 10, 2021

fft documentation, how to run in parallel
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last examples documentation functions
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