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sift:tutorials:tutorial_overview [2025/08/19 15:50] – [Public Data Sets] wikisysopsift:tutorials:tutorial_overview [2025/08/19 16:04] (current) – Added MLSE tutorial to the SPM section as well. wikisysop
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   * **[[Sift:Tutorials:Run_K-Means|Run K-Means]]**: This tutorial shows how you can use the k-means algorithms to cluster the results of PCA analysis.   * **[[Sift:Tutorials:Run_K-Means|Run K-Means]]**: This tutorial shows how you can use the k-means algorithms to cluster the results of PCA analysis.
   * **[[sift:tutorials:using_kmeans_to_cluster_kinetic_features_in_above_the_knee_amputees|Using K-means to cluster kinetic features in above-knee amputees]]**: This tutorial shows how you can use the k-means algorithm to explore a public data set.   * **[[sift:tutorials:using_kmeans_to_cluster_kinetic_features_in_above_the_knee_amputees|Using K-means to cluster kinetic features in above-knee amputees]]**: This tutorial shows how you can use the k-means algorithm to explore a public data set.
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 ==== Statistical Parametric Mapping ==== ==== Statistical Parametric Mapping ====
  
-  * **[[sift:tutorials:perform_statistical_parametric_mapping|Perform Statistical Parametric Mapping]]**: This tutorial explores the uses of SPM in Siftand how you can use it to draw useful analysis.+  * **[[sift:tutorials:perform_statistical_parametric_mapping|Perform Statistical Parametric Mapping]]**: This tutorial explores the uses of SPM in Sift and how you can use it to draw useful analysis
 +  * **[[sift:tutorials:openbiomechanics_project:effects_of_fatigue_during_basketball_free_throws_using_spm_and_anova|Effects of Fatigue During Basketball Free Throws Using SPM and ANOVA]]**: This tutorial explores how to use Visual3D and Sift to analyze MLSE's markerless motion capture data.
  
 ==== Building a Normal Database ==== ==== Building a Normal Database ====
sift/tutorials/tutorial_overview.txt · Last modified: 2025/08/19 16:04 by wikisysop