In machine learning, a nearest centroid classifier or nearest prototype classifier is a classification model that assigns to observations the label of the class of training samples whose mean (centroid) is closest to the observation. When applied to text classification using word vectors containing tf*idf weights to represent documents, the nearest centroid classifier is known as the Rocchio classifier because of its similarity to the Rocchio algorithm for relevance feedback. An extended version of the nearest centroid classifier has found applications in the medical domain, specifically classification of tumors. (Wikipedia).
Clustering 5: The K-means algorithm
From playlist Clustering Algorithms
This video introduces the medians of a triangle and states the properties of the medians of a triangle. Complete Video List: http://mathispower4u.yolasite.com/
From playlist Relationships with Triangles
Nearest neighbor (2): k-nearest neighbor
Basic k-nearest neighbor algorithm for classification and regression
From playlist cs273a
Mechanical Engineering: Centroids in 3-D (15 of 19) Centroids=? Using Direct Calculation: 2***
Visit http://ilectureonline.com for more math and science lectures! In this video I find the y-component of the centroid, or center of mass, using integration. Next video in this series can be seen at:
From playlist MECHANICAL ENGINEERING 7 CENTROIDS IN 3-D
Mechanical Engineering: Centroids in 3-D (9 of 19) Solve Using Multiple Components: Ex. 2
Visit http://ilectureonline.com for more math and science lectures! In this video I will find the centroid, or center of mass, using multiple components. Next video in this series can be seen at: https://youtu.be/ejcvB69rCcY
From playlist PHYSICS 14 CENTER OF MASS
Mechanical Engineering: Centroids & Center of Gravity (3 of 35) Centroids
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the difference between the center of gravity and centroids. Next video in this series can be seen at: https://youtu.be/VPFrzuMmmvQ
From playlist MECHANICAL ENGINEERING 4 - CENTER OF GRAVITY
CSE 519 --- Lecture 20: Clustering (Fall 2021)
11/18/21
From playlist CSE519 --- Data Science Fundamentals (Fall 2021)
Machine Learning Algorithms In-Depth Guide For 2022 | ML Algorithms Explained | Simplilearn
This video on Machine Learning Algorithm will take you through a detailed concept of machine learning algorithm. This video will help you to understand What is an Algorithm, What is Machine Learning, Types of Machine Learning, How Algorithms works in Machine Learning/Programing, Some popul
This is Lecture 22 of the CSE519 (Data Science) course taught by Professor Steven Skiena [http://www.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: http://www.cs.stonybrook.edu/~skiena/519 More information may be found here: http://www
From playlist CSE519 - Data Science Fall 2016
CSE 519 -- Lecture 24, Fall 2020
From playlist CSE 519 -- Fall 2020
Mechanical Engineering: Centroids in 3-D (14 of 19) Centroids=? Using Direct Calculation: 1
Visit http://ilectureonline.com for more math and science lectures! In this video I find the x-component of the centroid, or center of mass, using integration. Next video in this series can be seen at: https://youtu.be/ezCpwslK8f0
From playlist MECHANICAL ENGINEERING 7 CENTROIDS IN 3-D
Medians of Triangles & Centroid
I introduce Medians in Triangles and their point of concurrency...the centroid. I finish by working through three example dealing with the centroid and the ratio of the median segments. EXAMPLES AT 5:43 7:47 12:48 Find free review test, useful notes and more at http://www.mathplane.com I
From playlist Geometry
CSE 519 -- Lecture 23, Fall 2020
From playlist CSE 519 -- Fall 2020
Applied Machine Learning 2019 - Lecture 04 - Introduction to supervised learning
Nearest neighbors, nearest centroids, cross-validation and grid-search Materials on the course website: https://www.cs.columbia.edu/~amueller/comsw4995s19/schedule/
From playlist Applied Machine Learning - Spring 2019
Unsupervised Learning | Unsupervised Learning Algorithms | Machine Learning Tutorial | Simplilearn
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Watch more videos on http://www.brightstorm.com/math/geometry SUBSCRIBE FOR All OUR VIDEOS! https://www.youtube.com/subscription_center?add_user=brightstorm2 VISIT BRIGHTSTORM.com FOR TONS OF VIDEO TUTORIALS AND OTHER FEATURES! http://www.brightstorm.com/ LET'S CONNECT! Facebook â–º https
From playlist Geometry
Lecture 19 - Graph Theoretic-Clustering
This is Lecture 19 of the CSE549 (Computational Biology) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 2010. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/computationalbiology/pdf/lecture19.pdf More inf
From playlist CSE549 - Computational Biology - 2010 SBU