K-Modes - Revision history

BPeat at 03:00, 6 March 2024

2024-03-06T03:00:15Z

BPeat at 15:45, 13 September 2023

2023-09-13T15:45:49Z

BPeat at 00:13, 17 August 2023

2023-08-17T00:13:58Z

BPeat at 01:34, 13 July 2023

2023-07-13T01:34:11Z

BPeat at 01:13, 8 July 2023

2023-07-08T01:13:07Z

BPeat: Text replacement - "http:" to "https:"

2023-03-29T01:33:02Z

Text replacement - "http:" to "https:"

BPeat at 00:38, 23 April 2019

2019-04-23T00:38:29Z

BPeat at 13:27, 3 February 2019

2019-02-03T13:27:36Z

BPeat at 14:17, 8 January 2019

2019-01-08T14:17:33Z

BPeat: BPeat moved page K-Modes Clustering to K-Modes without leaving a redirect

2019-01-08T14:10:02Z

BPeat moved page K-Modes Clustering to K-Modes without leaving a redirect

@@ Line 17: / Line 17: @@
 [https://www.google.com/search?q="k-modes"+clustering ...Google search]
-* [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Optimizer]] ... [[Train, Validate, and Test]]
+* [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Train, Validate, and Test]]
 ** [[...cluster]]
 * [[Embedding]] ... [[Fine-tuning]] ... [[Retrieval-Augmented Generation (RAG)|RAG]] ... [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]].  [[...find outliers]]

@@ Line 19: / Line 19: @@
 * [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Optimizer]] ... [[Train, Validate, and Test]]
 ** [[...cluster]]
-* [[Embedding]] ... [[Fine-tuning]] ... [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]].  [[...find outliers]]
+* [[Embedding]] ... [[Fine-tuning]] ... [[Retrieval-Augmented Generation (RAG)|RAG]] ... [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]].  [[...find outliers]]
 * [[K-Means]]
 * [https://pdfs.semanticscholar.org/1069/2c9b80be922903526682f8fae5ad6ffb68f6.pdf K-modes Clustering Algorithm for Categorical Data | N. Sharma and N. Gaud]

@@ Line 19: / Line 19: @@
 * [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Optimizer]] ... [[Train, Validate, and Test]]
 ** [[...cluster]]
-* [[Embedding]]:  [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]] ... [[...find outliers]]
+* [[Embedding]] ... [[Fine-tuning]] ... [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]].  [[...find outliers]]
 * [[K-Means]]
 * [https://pdfs.semanticscholar.org/1069/2c9b80be922903526682f8fae5ad6ffb68f6.pdf K-modes Clustering Algorithm for Categorical Data | N. Sharma and N. Gaud]

@@ Line 17: / Line 17: @@
 [https://www.google.com/search?q="k-modes"+clustering ...Google search]
-* [[AI Solver]]
+* [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Optimizer]] ... [[Train, Validate, and Test]]
 ** [[...cluster]]
 * [[Embedding]]:  [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]] ... [[...find outliers]]

@@ Line 2: / Line 2: @@
 |title=PRIMO.ai
 |titlemode=append
-|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
+|keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
 [https://www.youtube.com/results?search_query="K+Modes" YouTube search...]
@@ Line 10: / Line 19: @@
 * [[AI Solver]]
 ** [[...cluster]]
-* [[Capabilities]]
+* [[Embedding]]:  [[Agents#AI-Powered Search|Search]] ... [[Clustering]] ... [[Recommendation]] ... [[Anomaly Detection]] ... [[Classification]] ... [[Dimensional Reduction]] ... [[...find outliers]]
 * [[K-Means]]
 * [https://pdfs.semanticscholar.org/1069/2c9b80be922903526682f8fae5ad6ffb68f6.pdf K-modes Clustering Algorithm for Categorical Data | N. Sharma and N. Gaud]

@@ Line 5: / Line 5: @@
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://www.youtube.com/results?search_query="K+Modes" YouTube search...]
+[https://www.youtube.com/results?search_query="K+Modes" YouTube search...]
-[http://www.google.com/search?q="k-modes"+clustering ...Google search]
+[https://www.google.com/search?q="k-modes"+clustering ...Google search]
 * [[AI Solver]]
@@ Line 13: / Line 13: @@
 * [[Clustering]]
 * [[K-Means]]
-* [http://pdfs.semanticscholar.org/1069/2c9b80be922903526682f8fae5ad6ffb68f6.pdf K-modes Clustering Algorithm for Categorical Data | N. Sharma and N. Gaud]
+* [https://pdfs.semanticscholar.org/1069/2c9b80be922903526682f8fae5ad6ffb68f6.pdf K-modes Clustering Algorithm for Categorical Data | N. Sharma and N. Gaud]
-an extension of k-means. Instead of distances it uses dissimilarities (that is, quantification of the total mismatches between two objects: the smaller this number, the more similar the two objects). And instead of means, it uses modes. A mode is a vector of elements that minimizes the dissimilarities between the vector itself and each object of the data. We will have as many modes as the number of clusters we required, since they act as centroids. [http://amva4newphysics.wordpress.com/2016/10/26/into-the-world-of-clustering-algorithms-k-means-k-modes-and-k-prototypes/ Into the world of clustering algorithms: k-means, k-modes and k-prototypes | Alessia Saggio]
+an extension of k-means. Instead of distances it uses dissimilarities (that is, quantification of the total mismatches between two objects: the smaller this number, the more similar the two objects). And instead of means, it uses modes. A mode is a vector of elements that minimizes the dissimilarities between the vector itself and each object of the data. We will have as many modes as the number of clusters we required, since they act as centroids. [https://amva4newphysics.wordpress.com/2016/10/26/into-the-world-of-clustering-algorithms-k-means-k-modes-and-k-prototypes/ Into the world of clustering algorithms: k-means, k-modes and k-prototypes | Alessia Saggio]
-http://i.stack.imgur.com/JqGsg.png
+https://i.stack.imgur.com/JqGsg.png

← Older revision		Revision as of 13:27, 3 February 2019
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		+	{{#seo:
		+	\|title=PRIMO.ai
		+	\|titlemode=append
		+	\|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
		+	\|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
		+	}}
	[http://www.youtube.com/results?search_query="K+Modes" YouTube search...]		[http://www.youtube.com/results?search_query="K+Modes" YouTube search...]
	[http://www.google.com/search?q="k-modes"+clustering ...Google search]		[http://www.google.com/search?q="k-modes"+clustering ...Google search]

← Older revision	Revision as of 14:10, 8 January 2019
(No difference)