PPT-Issue 2: Clustering of Folk Cultures
Author : faustina-dinatale | Published Date : 2018-10-29
Isolation promotes cultural diversity Himalayan art Influence of the physical environment Distinctive food preferences Folk housing US folk house forms Isolation
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Issue 2: Clustering of Folk Cultures: Transcript
Isolation promotes cultural diversity Himalayan art Influence of the physical environment Distinctive food preferences Folk housing US folk house forms Isolation and Cultural Diversity Folk culture typically has unknown or multiple origins among groups living in relative isolation . . . Culture:. . . What people care about …. . . What people take care of…. 2. Folk & Popular Culture: Terms. HABIT. “a repetitive act that a particular . individual. . performs”. C4K2. Objectives. Influence of the physical environment. Isolation promotes cultural diversity. Influence of the Physical Environment. Folk culture is much more dependent and tied to the land than popular culture. Why?. music. Polish folk music:. There are many similarities in folk music to other slovenian countries like: Chech Republic, Slovacai, Ukraine, Belarus. . and Russia. . Folk music was produced by amateur singers and music players. School. Introduction to Adult Education. Dr. Crosby. Highlander Folk School: . Today. Mission Statement: “A catalyst for grassroots organizing and movement building….” . Highlander Research & Education Center. We are Rajasthan! . Mame Khan – Folk –Sufi- Fusion. Mame Khan . . ~ . Folk Star & Coke Studio Fame. Mame. . Khan is one of the most renowned Folk and Sufi singer from Rajasthan. He sings a wide range of Folk and Sufi music from the . Origin of Culture. Folk Culture. Isolated, clustered. Topics involve every day life, environment, beliefs. Passed down orally. Traditions . Spread by relocation diffusion. Little change over time. Separate, multiple hearths. Lecture outline. Distance/Similarity between data objects. Data objects as geometric data points. Clustering problems and algorithms . K-means. K-median. K-center. What is clustering?. A . grouping. of data objects such that the objects . Ukrainian Polissya. Maria. . Vilshanska. . Form 10. «. A picture is a poem without words. ». Но. race. Folk painting of Polissya is one of the important components of spiritual culture of this land. Conceptualization of painting as an imitative part of the integral ceremonial-folklore whole, semiotic approach to the phenomena of painting give an opportunity to penetrate into the context of its extra-plot and extra-thematic connections, to determine more exactly its ritual-magical and social-utilitarian functions. However, the study of folk painting of Polissya, particularly of icon painting and folk picture, still requires much effort, because folk icon painting has not yet been a subject of systematic collecting and studying and in the XVIII-XIX centuries suffered persecutions from official church circles. During all the years of Soviet governance folk icon and picture were not studied and in specific periods were even prohibited and destroyed. Besides, the actual state of things with collecting and studying of imitative folklore of Polissya, comparing to that of Middle . January 18, Week 12. Folk community. “I have been expelled from the folk community”. T. he Nazi folk community. More a notion than a reality. Idea of an equal community of racial comrades. Everyone’s participation. Leonard Cohen (1934- ). Gordon Lightfoot (1938 ). Bruce Cockburn (1945- ). Joni Mitchell (1943- ). Stan Rogers (1949-1983). Anne Murray. Buffy Sainte Marie (1941- ). Neil Young. Classic Folk Musicians. What is clustering?. Why would we want to cluster?. How would you determine clusters?. How can you do this efficiently?. K-means Clustering. Strengths. Simple iterative method. User provides “K”. Unsupervised . learning. Seeks to organize data . into . “reasonable” . groups. Often based . on some similarity (or distance) measure defined over data . elements. Quantitative characterization may include. Lecture outline. Distance/Similarity between data objects. Data objects as geometric data points. Clustering problems and algorithms . K-means. K-median. K-center. What is clustering?. A . grouping. of data objects such that the objects . 1. Mark Stamp. K-Means for Malware Classification. Clustering Applications. 2. Chinmayee. . Annachhatre. Mark Stamp. Quest for the Holy . Grail. Holy Grail of malware research is to detect previously unseen malware.
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