{"id":16835,"date":"2020-02-09T19:01:04","date_gmt":"2020-02-10T00:01:04","guid":{"rendered":"https:\/\/bangla.salearningschool.com\/recent-posts\/misc-data-science-clustering\/"},"modified":"2020-02-11T20:53:56","modified_gmt":"2020-02-12T01:53:56","slug":"misc-data-science-clustering","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=16835","title":{"rendered":"Misc. Data Science: Clustering"},"content":{"rendered":"

"Model<\/strong>–based clustering<\/strong> assumes that the data were generated by a model<\/strong> and tries to recover the original model<\/strong> from the data. The model<\/strong> that we recover from the data then defines clusters and an assignment of documents to clusters. A commonly used criterion for estimating the model<\/strong> parameters is maximum likelihood.nlp.stanford.edu \u203a IR-book \u203a html \u203a htmledition \u203a model-based-clusteri…
\n<\/a>
\n<\/a><\/p>\n

Model-based clustering – Stanford NLP Group<\/a><\/h3>\n

<\/a>"<\/p>\n

"
\nMixture models<\/strong> are also known as model<\/strong>–based clustering<\/strong>. Model<\/strong>–based clustering<\/strong> is a broad family of algorithms designed for modelling an unknown distribution as a mixture<\/strong> of simpler distributions, sometimes called basis distributions.<\/p>\n

www.sciencedirect.com \u203a topics \u203a medicine-and-dentistry \u203a model-based…<\/p>\n

<\/a><\/p>\n

Model-Based Clustering – an overview | ScienceDirect Topics<\/a><\/h3>\n

<\/a><\/p>\n

"<\/p>\n

"
\nMixture model<\/p>\n

Description<\/h2>\n

In statistics, a mixture model is a probabilistic model for representing the presence of subpopulations within an overall population, without requiring that an observed data set should identify the sub-population to which an individual observation belongs. Wikipedia<\/a><\/p>\n

"<\/p>\n

Introduction to Mixture Models<\/strong>
\nhttps:\/\/stephens999.github.io\/fiveMinuteStats\/intro_to_mixture_models.html<\/a><\/p>\n

***. ***. ***
\nNote: Older short-notes from this site are posted on Medium: <\/strong><\/em>https:\/\/medium.com\/@SayedAhmedCanada<\/a><\/p>\n

*** . *** *** . *** . *** . ***
\n<\/em>
\nSayed Ahmed<\/strong>
\n<\/em>
\nBSc. Eng. in Comp. Sc. & Eng. (BUET)<\/strong><\/em>
\nMSc. in Comp. Sc. (U of Manitoba, Canada)<\/strong><\/em>
\nMSc. in Data Science and Analytics (Ryerson University, Canada)<\/strong><\/em>
\nLinkedin<\/strong>: https:\/\/ca.linkedin.com\/in\/sayedjustetc<\/a>
\n<\/em><\/p>\n

Blog<\/strong>: http:\/\/Bangla.SaLearningSchool.com<\/a>, http:\/\/SitesTree.com<\/a><\/em>
\nOnline and Offline Training<\/strong>: http:\/\/Training.SitesTree.com<\/a> (Also, can be free and low cost sometimes)<\/em><\/p>\n

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"Model–based clustering assumes that the data were generated by a model and tries to recover the original model from the data. The model that we recover from the data then defines clusters and an assignment of documents to clusters. A commonly used criterion for estimating the model parameters is maximum likelihood.nlp.stanford.edu \u203a IR-book \u203a html … <\/p>\n

Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1910,182],"tags":[],"class_list":["post-16835","post","type-post","status-publish","format-standard","hentry","category-ai-ml-ds-rl-dl-nn-nlp-data-mining-optimization","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":78210,"url":"http:\/\/bangla.sitestree.com\/?p=78210","url_meta":{"origin":16835,"position":0},"title":"Model Selection for your Project","author":"Sayed","date":"May 21, 2025","format":false,"excerpt":"Potential Models \u2022 Statistical Models \u2022 Parametric and Non-Parametric \u2022 Mathematical Model (Optimization) \u2022 Machine Learning \u2022 Data Mining \u2022 Deep Learning \u2022 Reinforcement Learning \u2022 Graph Mining \u2022 NLP \u2022 Optimization \u2022 Genetic Algorithm \u2022Association \u2022Basket Association \u2022Apriori Algorithm \u2022Supervised \u2022Classification \u2022Regression \u2022Unsupervised \u2022Clustering\/Customer Segmentation \u2022Reinforcement \u2022Learn a policy\u2026","rel":"","context":"In "Analytics and Machine Learning Project Development"","block_context":{"text":"Analytics and Machine Learning Project Development","link":"http:\/\/bangla.sitestree.com\/?cat=1974"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-22.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-22.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-22.png?resize=525%2C300 1.5x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-22.png?resize=700%2C400 2x"},"classes":[]},{"id":78217,"url":"http:\/\/bangla.sitestree.com\/?p=78217","url_meta":{"origin":16835,"position":1},"title":"Model Selection","author":"Sayed","date":"May 21, 2025","format":false,"excerpt":"\u2022 Optimizations\/Machine Learning\/Data Mining\/Deep Learning\/Reinforcement Learning\/Graph Mining\/NLP\/Genetic Algorithms \u2022 Regression \u2022 Linear \u2022 Non-Linear \u2022 Classifications \u2022 Logistics Regression \u2022 Sigmoid : Binary \u2022 Softmax: Multi-Class \u2022 Bayes Classifier \u2022 SVM \u2022 Bayesian: Regression\/Classification \u2022 Clustering \u2022 K-NN \u2022 KNN+ \u2022 Kmeans, Hierarchical, Density \u2022Machine Learning\/Data Mining\/Deep Learning\/Reinforcement Learning\/Graph Mining\/NLP\u2026","rel":"","context":"In "Analytics and Machine Learning Project Development"","block_context":{"text":"Analytics and Machine Learning Project Development","link":"http:\/\/bangla.sitestree.com\/?cat=1974"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":14810,"url":"http:\/\/bangla.sitestree.com\/?p=14810","url_meta":{"origin":16835,"position":2},"title":"SQL Server (SSAS): Data Mining: Data Science: Data Analytics: Prediction: Neural Networks : Linear\/Logistics Regression","author":"Sayed","date":"June 15, 2019","format":false,"excerpt":"SQL Server Analysis Service: Data Mining Algorithms (Analysis Services - Data Mining) https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/data-mining-algorithms-analysis-services-data-mining?view=sql-server-2017 -- Microsoft Association Algorithm https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/microsoft-association-algorithm?view=sql-server-2017 -- Association Model Query Examples https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/association-model-query-examples?view=sql-server-2017 -- Microsoft Clustering Algorithm https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/microsoft-clustering-algorithm?view=sql-server-2017 Clustering Model Query Examples https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/clustering-model-query-examples?view=sql-server-2017 -- Microsoft Time Series Algorithm https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/microsoft-time-series-algorithm?view=sql-server-2017 --- Time Series Model Query Examples https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/time-series-model-query-examples?view=sql-server-2017 --- Microsoft Neural\u2026","rel":"","context":"In "AI ML DS RL DL NN NLP Data Mining Optimization"","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":76075,"url":"http:\/\/bangla.sitestree.com\/?p=76075","url_meta":{"origin":16835,"position":3},"title":"K-Means Clustering","author":"Sayed","date":"May 18, 2024","format":false,"excerpt":"Click on the images to see them clearly #!\/usr\/bin\/env python coding: utf-8 In[1]: k-means clustering from numpy import unique from numpy import where from sklearn.datasets import make_classification from sklearn.cluster import KMeans from matplotlib import pyplot import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2024\/05\/image-40.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2024\/05\/image-40.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2024\/05\/image-40.png?resize=525%2C300 1.5x"},"classes":[]},{"id":22881,"url":"http:\/\/bangla.sitestree.com\/?p=22881","url_meta":{"origin":16835,"position":4},"title":"Graph Mining: Node Importance","author":"Sayed","date":"March 21, 2021","format":false,"excerpt":"Resources to Learn From A Book. Nagiza F. Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, and Arpan Chakraborty. 2013. Practical Graph Mining with R. Chapman & Hall\/CRC. Read the resources above to find answers. Betweenness Based Clustering: Learn by finding answers to the following questions. Can you answer the following?\u2026","rel":"","context":"In "Graph Mining"","block_context":{"text":"Graph Mining","link":"http:\/\/bangla.sitestree.com\/?cat=1905"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":14734,"url":"http:\/\/bangla.sitestree.com\/?p=14734","url_meta":{"origin":16835,"position":5},"title":"NLP, Machine Learning, Deep Learning","author":"Sayed","date":"April 19, 2019","format":false,"excerpt":"Machine Learning and Deep Learning Courses https:\/\/www.andrewng.org\/courses\/ Weka: Data Mining and Machine Learning https:\/\/www.cs.waikato.ac.nz\/ml\/weka\/book.html On PLSA and NLP: http:\/\/times.cs.uiuc.edu\/course\/598f13\/plsa-note.pdf Lectures on NLP Topics: http:\/\/www.cs.virginia.edu\/~hw5x\/ Automatic hand-written digit clustering using Bernoulli Mixture Models and Expectation-Maximization. https:\/\/github.com\/manfredzab\/bernoulli-mixture-models Sayed Ahmed sayedum Linkedin: https:\/\/ca.linkedin.com\/in\/sayedjustetc Blog: http:\/\/sitestree.com, http:\/\/bangla.salearningschool.com","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/16835","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16835"}],"version-history":[{"count":1,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/16835\/revisions"}],"predecessor-version":[{"id":16870,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/16835\/revisions\/16870"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16835"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16835"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}